This is a table of type bigram and their frequencies. Use it to search & browse the list to learn more about your study carrel.
bigram | frequency |
---|---|
knowledge score | 87 |
knowledge transfer | 66 |
saudi arabia | 64 |
knowledge tracing | 59 |
knowledge graph | 58 |
knowledge creation | 54 |
respiratory syndrome | 54 |
good knowledge | 54 |
towards covid | 54 |
health care | 52 |
healthcare workers | 52 |
travel medicine | 50 |
public health | 46 |
natural language | 45 |
layer network | 45 |
coronavirus disease | 42 |
infectious diseases | 41 |
knowledge management | 40 |
control measures | 39 |
process planning | 37 |
procedural knowledge | 37 |
online survey | 37 |
total knowledge | 37 |
infection control | 37 |
knowledge forum | 36 |
middle east | 35 |
novel coronavirus | 35 |
social media | 35 |
knowledge base | 34 |
knowledge asset | 34 |
knowledge scores | 33 |
knowledge sharing | 33 |
doc id | 32 |
knowledge level | 32 |
cord uid | 32 |
sectional study | 32 |
east respiratory | 31 |
regarding covid | 31 |
nosocomial infections | 31 |
drug repurposing | 31 |
practices towards | 31 |
neurosurgery residents | 30 |
acute respiratory | 30 |
knowledge construction | 30 |
kami framework | 29 |
outsourcing project | 29 |
phone survey | 28 |
world health | 28 |
domain knowledge | 28 |
health organization | 27 |
sample size | 26 |
local knowledge | 26 |
toward covid | 26 |
climate change | 26 |
case reporting | 26 |
poor knowledge | 25 |
international business | 25 |
severe acute | 25 |
logistic regression | 25 |
specific knowledge | 24 |
knowledge assets | 24 |
asset management | 24 |
epidemic spreading | 24 |
information diffusion | 23 |
believed nodes | 23 |
outsource vendor | 23 |
graph completion | 23 |
educational programs | 23 |
knowledge bases | 22 |
present study | 22 |
bird flu | 22 |
online non | 22 |
community pharmacists | 21 |
infection prevention | 21 |
sectional survey | 21 |
data collection | 21 |
significantly associated | 21 |
travel health | 20 |
social distancing | 20 |
health sciences | 20 |
confidence interval | 20 |
information extraction | 20 |
penetration intensity | 19 |
universal precautions | 19 |
special issue | 19 |
mean score | 19 |
correct answers | 19 |
among healthcare | 19 |
marital status | 18 |
preventive practices | 18 |
case study | 18 |
care workers | 18 |
regression analysis | 18 |
nosocomial infection | 18 |
elapsed time | 18 |
hand hygiene | 18 |
programme director | 18 |
united states | 18 |
based discovery | 17 |
diseases related | 17 |
social sciences | 17 |
lag time | 17 |
tracing model | 16 |
syndrome coronavirus | 16 |
among hcws | 16 |
infected nodes | 16 |
knowledge graphs | 16 |
negative perception | 16 |
preventive measures | 16 |
avian flu | 16 |
infectious disease | 16 |
main codes | 15 |
cov educational | 15 |
years old | 15 |
common sense | 15 |
topic maps | 15 |
study conducted | 15 |
good practices | 15 |
confirmed cases | 15 |
protective equipment | 14 |
question answering | 14 |
based knowledge | 14 |
summary notes | 14 |
semantic relations | 14 |
language processing | 14 |
high level | 14 |
health education | 14 |
capp systems | 14 |
client organisation | 14 |
general population | 14 |
disease control | 14 |
personal protective | 13 |
knowledge questions | 13 |
medical participants | 13 |
correct answer | 13 |
chronic diseases | 13 |
proposed system | 13 |
discovery patterns | 13 |
statistically significant | 13 |
previous studies | 13 |
good practice | 13 |
outbreak threshold | 13 |
public knowledge | 13 |
study participants | 13 |
survey data | 13 |
semantic tracking | 12 |
patient care | 12 |
artificial intelligence | 12 |
coding scheme | 12 |
contract stage | 12 |
sociodemographic characteristics | 12 |
neural network | 12 |
protective measures | 12 |
domain specific | 12 |
machine learning | 12 |
social distance | 12 |
link prediction | 12 |
assessed using | 12 |
surgical residents | 12 |
group discourses | 12 |
knowledge production | 12 |
correct response | 12 |
study population | 12 |
give advice | 11 |
butylated hydroxytoluene | 11 |
function blocks | 11 |
overall knowledge | 11 |
healthcare professionals | 11 |
adult population | 11 |
van aalst | 11 |
pilot study | 11 |
knowledge questionnaire | 11 |
online medical | 11 |
education level | 11 |
emerging infectious | 11 |
first study | 11 |
interval ci | 11 |
online participants | 11 |
copyright holder | 11 |
first case | 11 |
related knowledge | 11 |
negative perceptions | 11 |
made available | 11 |
care facilities | 11 |
practice score | 11 |
graduate students | 11 |
public trust | 11 |
granted medrxiv | 11 |
higher knowledge | 11 |
mental health | 11 |
rise period | 11 |
international license | 11 |
author funder | 11 |
perceived effectiveness | 11 |
application layer | 11 |
measures undertaken | 11 |
demographic characteristics | 11 |
rapid rise | 11 |
bayesian knowledge | 10 |
linear regression | 10 |
total score | 10 |
declarative knowledge | 10 |
positive attitude | 10 |
per cent | 10 |
semantic predications | 10 |
significantly different | 10 |
precautionary measures | 10 |
clinical symptoms | 10 |
open domain | 10 |
search engines | 10 |
less likely | 10 |
significantly higher | 10 |
epidemic outbreak | 10 |
medical practitioners | 10 |
attitude towards | 10 |
aman town | 10 |
medrxiv preprint | 10 |
response rate | 10 |
senior pharmacy | 10 |
provide information | 10 |
knowledge building | 10 |
knowledge exchange | 10 |
knowledge model | 10 |
animal diseases | 10 |
four groups | 9 |
internal consistency | 9 |
pharmacy students | 9 |
medical students | 9 |
medical education | 9 |
knowledge may | 9 |
middle eastern | 9 |
practice towards | 9 |
collaborative learning | 9 |
information systems | 9 |
clinical characteristics | 9 |
data analysis | 9 |
related information | 9 |
maximum score | 9 |
strongly agree | 9 |
complex networks | 9 |
questions related | 9 |
age groups | 9 |
online cross | 9 |
low knowledge | 9 |
clinical trials | 9 |
strongly disagree | 9 |
cent score | 9 |
attitudes towards | 9 |
pyrrolidine dithiocarbamate | 9 |
better knowledge | 9 |
creation model | 9 |
situated communities | 9 |
health science | 9 |
crowded places | 9 |
square test | 9 |
factors associated | 9 |
outsourcing arrangement | 9 |
knowledge blocks | 9 |
practices toward | 9 |
case studies | 9 |
learning activities | 9 |
positive attitudes | 9 |
knowledge holders | 9 |
likert scale | 9 |
visual data | 9 |
pagerank tm | 9 |
one hand | 9 |
outsourcing projects | 9 |
standard precautions | 9 |
quick online | 9 |
new knowledge | 9 |
data layer | 9 |
three countries | 8 |
knowledge process | 8 |
attitude questions | 8 |
new forms | 8 |
preventative measures | 8 |
important role | 8 |
fb architecture | 8 |
semantic data | 8 |
research questions | 8 |
mean knowledge | 8 |
driven systems | 8 |
protective measure | 8 |
chi minh | 8 |
discourse mode | 8 |
gear box | 8 |
scientific knowledge | 8 |
language understanding | 8 |
kidney disease | 8 |
social science | 8 |
potential eids | 8 |
scene graph | 8 |
business policy | 8 |
proposed kami | 8 |
temporal features | 8 |
student response | 8 |
work experience | 8 |
among physicians | 8 |
risk information | 8 |
informed consent | 8 |
knowledge representation | 8 |
even though | 8 |
best practice | 8 |
associated factors | 8 |
results show | 8 |
analysis showed | 8 |
alpha coefficient | 8 |
transmission routes | 8 |
response embeddings | 8 |
chinese residents | 8 |
three modes | 8 |
mean per | 8 |
current study | 8 |
minh city | 8 |
statistical analysis | 8 |
medical residents | 8 |
vast majority | 8 |
knowledge quality | 8 |
global health | 8 |
previous study | 8 |
ho chi | 8 |
information regarding | 8 |
crowded place | 8 |
among chinese | 8 |
higher score | 8 |
may require | 8 |
exercise information | 8 |
graph embedding | 8 |
real world | 8 |
among health | 8 |
response rates | 8 |
practice toward | 8 |
aided process | 8 |
significance level | 7 |
tracing models | 7 |
washing hands | 7 |
creation discourse | 7 |
authors declare | 7 |
design stage | 7 |
predicted results | 7 |
population towards | 7 |
publicly available | 7 |
less experienced | 7 |
close contact | 7 |
mean age | 7 |
dry cough | 7 |
situation report | 7 |
may also | 7 |
discourse modes | 7 |
social interactions | 7 |
sufficient knowledge | 7 |
bivariate analysis | 7 |
conversation agent | 7 |
deep learning | 7 |
knowledge regarding | 7 |
optimistic attitudes | 7 |
knowledge modules | 7 |
response information | 7 |
survey participants | 7 |
seeking questions | 7 |
formal education | 7 |
regarding travel | 7 |
conducted among | 7 |
health center | 7 |
participants reported | 7 |
believed state | 7 |
knowledge extraction | 7 |
arabia knowledge | 7 |
statistical significance | 7 |
table shows | 7 |
high risk | 7 |
temporal feature | 7 |
completion models | 7 |
online discourse | 7 |
attention layers | 7 |
allows us | 7 |
financial condition | 7 |
median scores | 7 |
maintaining social | 7 |
sars control | 7 |
social trust | 7 |
social networks | 7 |
systematic review | 7 |
failure mode | 7 |
education system | 7 |
clinical guidelines | 7 |
main code | 7 |
united kingdom | 7 |
secondary school | 7 |
main source | 7 |
possibilistic graph | 7 |
spss version | 7 |
health authorities | 7 |
knowledge matrix | 7 |
knowledge exchanges | 7 |
drug candidates | 7 |
education programs | 7 |
relation extraction | 7 |
study showed | 7 |
emergency department | 7 |
care settings | 7 |
outbreak thresholds | 7 |
experienced hcws | 7 |
also see | 7 |
sense knowledge | 7 |
point likert | 7 |
knowledge advancement | 7 |
significant difference | 7 |
time interval | 7 |
two groups | 7 |
standard deviation | 7 |
process plan | 6 |
attitude toward | 6 |
knowledge gap | 6 |
results showed | 6 |
special collection | 6 |
male hcws | 6 |
information processing | 6 |
output sequence | 6 |
management implementation | 6 |
respiratory disease | 6 |
health services | 6 |
face masks | 6 |
hong kong | 6 |
descriptive statistics | 6 |
administered questionnaire | 6 |
ontological topic | 6 |
male gender | 6 |
scientific research | 6 |
hospitalized patients | 6 |
collaborative summary | 6 |
hiv aids | 6 |
knowledge resistance | 6 |
communicable diseases | 6 |
policies actions | 6 |
value chains | 6 |
regression model | 6 |
assigned point | 6 |
higher education | 6 |
medical staff | 6 |
planning system | 6 |
frequent infectious | 6 |
feature embeddings | 6 |
cognitive psychology | 6 |
received information | 6 |
wide range | 6 |
early days | 6 |
among primary | 6 |
appropriate practices | 6 |
rumor may | 6 |
language query | 6 |
measures taken | 6 |
one point | 6 |
outsourcing agreement | 6 |
believed node | 6 |
box housing | 6 |
graduate health | 6 |
client layer | 6 |
matrix model | 6 |
attention layer | 6 |
simulated results | 6 |
educational activities | 6 |
infected persons | 6 |
extracted information | 6 |
using spss | 6 |
knowledge acquisition | 6 |
successfully controlled | 6 |
knowledge engineering | 6 |
time probabilities | 6 |
small number | 6 |
university students | 6 |
cov infection | 6 |
adaptive services | 6 |
sars crisis | 6 |
world knowledge | 6 |
lower knowledge | 6 |
rights reserved | 6 |
open access | 6 |
training programs | 6 |
conversational systems | 6 |
spss inc | 6 |
medical group | 6 |
communication costs | 6 |
management system | 6 |
phone call | 6 |
actions implemented | 6 |
sars outbreak | 6 |
node receives | 6 |
summary note | 6 |
outsourcing contract | 6 |
study design | 6 |
random network | 6 |
new information | 6 |
distancing measures | 6 |
patient journey | 6 |
students towards | 6 |
primary care | 6 |
physical distancing | 6 |
collective knowledge | 6 |
scientific journals | 6 |
general public | 6 |
regression analyses | 6 |
rumor vs | 6 |
main clinical | 6 |
knowledge among | 6 |
positively associated | 6 |
health crisis | 6 |
determine whether | 6 |
medical sciences | 6 |
epidemic model | 6 |
online surveys | 6 |
event tracking | 6 |
young adults | 6 |
developing countries | 6 |
innovation ecology | 6 |
research question | 6 |
supported collaborative | 6 |
educational attainment | 6 |
epidemic threshold | 6 |
low level | 6 |
survey methods | 6 |
convolutional networks | 6 |
lebanese physicians | 6 |
towards nosocomial | 6 |
good level | 6 |
review board | 6 |
candidate drugs | 6 |
respondents knew | 6 |
different countries | 6 |
control practices | 6 |
total number | 6 |
independent sample | 6 |
vector space | 6 |
science students | 6 |
survey knowledge | 6 |
disease emergence | 5 |
risk factors | 5 |
social life | 5 |
factoid questions | 5 |
severe covid | 5 |
occupational health | 5 |
way analysis | 5 |
multiple linear | 5 |
findings suggest | 5 |
acquired infections | 5 |
system will | 5 |
next section | 5 |
believed density | 5 |
continuous embedding | 5 |
human diseases | 5 |
asked questions | 5 |
respiratory diseases | 5 |
nursing students | 5 |
risk management | 5 |
study aimed | 5 |
health information | 5 |
also found | 5 |
grade course | 5 |
systems outsourcing | 5 |
new coronavirus | 5 |
epidemic may | 5 |
scene graphs | 5 |
phone calls | 5 |
decision support | 5 |
accuracy classifier | 5 |
final output | 5 |
conceptual framework | 5 |
believed neighbor | 5 |
ednet dataset | 5 |
head entity | 5 |
identify potential | 5 |
statistical package | 5 |
leaving home | 5 |
different forms | 5 |
bangladeshi adult | 5 |
level estimates | 5 |
work together | 5 |
group separation | 5 |
center counseling | 5 |
message passing | 5 |
shared knowledge | 5 |
took part | 5 |
residency training | 5 |
open discovery | 5 |
western region | 5 |
transformer based | 5 |
know option | 5 |
analyzed using | 5 |
study also | 5 |
social scientific | 5 |
gene expression | 5 |
current situation | 5 |
demographic groups | 5 |
multinomial logistic | 5 |
iterative message | 5 |
university hospital | 5 |
infected pneumonia | 5 |
group differences | 5 |
possibility degrees | 5 |
medical anthropology | 5 |
following patterns | 5 |
cov cases | 5 |
rapid learning | 5 |
answering system | 5 |
nursing homes | 5 |
score ranged | 5 |
knowledge repository | 5 |
concept evaluation | 5 |
topic map | 5 |
training corpus | 5 |
embedding sequence | 5 |
new concepts | 5 |
node degree | 5 |
discovery browsing | 5 |
care institutions | 5 |
management strategies | 5 |
transdisciplinary debates | 5 |
answer questions | 5 |
epidemic infectivity | 5 |
vendor knowledge | 5 |
medical field | 5 |
online questionnaire | 5 |
fb process | 5 |
web pages | 5 |
disease outbreaks | 5 |
adequate knowledge | 5 |
tail entity | 5 |
environment relations | 5 |
preparedness regarding | 5 |
practice scores | 5 |
situated knowledge | 5 |
rumor spreading | 5 |
will enable | 5 |
unbundling period | 5 |
health workers | 5 |
reporting cases | 5 |
size calculator | 5 |
undetected infected | 5 |
unexpected events | 5 |
one way | 5 |
transfer among | 5 |
based cross | 5 |
categorical embedding | 5 |
practice regarding | 5 |
severe symptoms | 5 |
global value | 5 |
sciences students | 5 |
primary healthcare | 5 |
published articles | 5 |
web link | 5 |
information sources | 5 |
multiplex networks | 5 |
years ago | 5 |
safe practices | 5 |
safe use | 5 |
health emergencies | 5 |
maximum entropy | 5 |
shiraz university | 5 |
related entities | 5 |
th march | 5 |
institutional review | 5 |
highest knowledge | 5 |
unforeseen events | 5 |
mechanistic explanations | 5 |
school students | 5 |
completion methods | 5 |
two temporal | 5 |
randomly selected | 5 |
studying hours | 5 |
empirical knowledge | 5 |
bounding boxes | 5 |
cnn model | 5 |
many countries | 5 |
learning environments | 5 |
disease transmission | 5 |
biomedical knowledge | 5 |
graph convolutional | 5 |
safety measures | 5 |
sorted algebra | 5 |
information spreading | 5 |
management practices | 5 |
network medicine | 5 |
southwest ethiopia | 5 |
media platforms | 5 |
based learning | 5 |
competitive diffusions | 5 |
knowledge items | 5 |
health professionals | 5 |
health institutions | 5 |
use case | 5 |
inquiry thread | 5 |
cov information | 5 |
extracting information | 4 |
disease dispersion | 4 |
outsourcing relationships | 4 |
care providers | 4 |
via television | 4 |
prevent infection | 4 |
knowledge domain | 4 |
bert model | 4 |
health doi | 4 |
management activities | 4 |
almost half | 4 |
significant correlation | 4 |
based model | 4 |
health systems | 4 |
spreading model | 4 |
qualitative analysis | 4 |
study reported | 4 |
educational level | 4 |
existing knowledge | 4 |
graph generation | 4 |
extraction module | 4 |
answered yes | 4 |
business processes | 4 |
approach based | 4 |
learning methods | 4 |
useful insights | 4 |
global crisis | 4 |
openclinical knowledge | 4 |
also called | 4 |
healthcare facilities | 4 |
agent architecture | 4 |
probability distribution | 4 |
large scale | 4 |
future research | 4 |
structured questionnaire | 4 |
ethical clearance | 4 |
study aims | 4 |
graph embeddings | 4 |
van assche | 4 |
tacit knowledge | 4 |
takes place | 4 |
composite fbs | 4 |
male students | 4 |
egyptian ministry | 4 |
answering systems | 4 |
asked whether | 4 |
representing relations | 4 |
important aspect | 4 |
better practices | 4 |
economic impact | 4 |
competing interests | 4 |
art knowledge | 4 |
mathematical modelling | 4 |
four medical | 4 |
survey among | 4 |
generated wpkg | 4 |
first section | 4 |
population level | 4 |
local risk | 4 |
will increase | 4 |
creation principles | 4 |
relatively good | 4 |
internal reliability | 4 |
practices related | 4 |
outbreak size | 4 |
independent variables | 4 |
learning systems | 4 |
decision making | 4 |
dry zone | 4 |
public education | 4 |
true false | 4 |
rural people | 4 |
commons attribution | 4 |
approximately half | 4 |
another study | 4 |
molecular docking | 4 |
level knowledge | 4 |
towards mers | 4 |
recent years | 4 |
creative commons | 4 |
management systems | 4 |
high confidence | 4 |
life cycle | 4 |
activities records | 4 |
trade costs | 4 |
managing knowledge | 4 |
final control | 4 |
camel respiratory | 4 |
search engine | 4 |
overall correct | 4 |
participants knew | 4 |
three main | 4 |
knowledge towards | 4 |
layer system | 4 |
personal hygiene | 4 |
aged years | 4 |
risk factor | 4 |
finite state | 4 |
median score | 4 |
knowledge will | 4 |
coronavirus pandemic | 4 |
based research | 4 |
educational institutions | 4 |
intensive care | 4 |
state transitions | 4 |
respiratory infection | 4 |
preventing covid | 4 |
recent study | 4 |
educational status | 4 |
common cold | 4 |
ethnoveterinary knowledge | 4 |
last four | 4 |
survey questions | 4 |
respiratory distress | 4 |
relations among | 4 |
distributed process | 4 |
collective action | 4 |
human beings | 4 |
avian influenza | 4 |
ib scholarship | 4 |
parameter space | 4 |
clinical presentation | 4 |
biomedical literature | 4 |
based models | 4 |
dl based | 4 |
insufficient knowledge | 4 |
least two | 4 |
another important | 4 |
knowledge sufficiency | 4 |
human geography | 4 |
visual genome | 4 |
taken together | 4 |
tertiary education | 4 |
among people | 4 |
ecological possibilities | 4 |
bmj best | 4 |
travel diseases | 4 |
knowledge retrieval | 4 |
patients infected | 4 |
low levels | 4 |
income countries | 4 |
popular search | 4 |
data sets | 4 |
executable models | 4 |
provide useful | 4 |
multispecialty hospitals | 4 |
higher scores | 4 |
conversation system | 4 |
research center | 4 |
coronavirus among | 4 |
therapeutic target | 4 |
knowledge status | 4 |
i propose | 4 |
ibm spss | 4 |
conversational agent | 4 |
dependent variables | 4 |
entity recognition | 4 |
satisfactory knowledge | 4 |
image processing | 4 |
network structure | 4 |
rumor infectivity | 4 |
prior knowledge | 4 |
decision model | 4 |
wearing masks | 4 |
three hospitals | 4 |
knowledge visualization | 4 |
three different | 4 |
knowledge advances | 4 |
false basis | 4 |
different levels | 4 |
nan doi | 4 |
study provides | 4 |
family members | 4 |
informal sector | 4 |
threshold indicates | 4 |
perceiving knowledge | 4 |
economic consequences | 4 |
significant number | 4 |
northwest ethiopia | 4 |
education campaign | 4 |
multivariable logistic | 4 |
scientific community | 4 |
supplementary material | 4 |
residents towards | 4 |
daily laborer | 4 |
factors affecting | 4 |
framework based | 4 |
basic fbs | 4 |
disease caused | 4 |
well aware | 4 |
possibilistic knowledge | 4 |
term goals | 4 |
network analysis | 4 |
development phase | 4 |
vaccination game | 4 |
global knowledge | 4 |
reasonable request | 4 |
current pandemic | 4 |
knowledge integration | 4 |
computer technology | 4 |
people may | 4 |
four months | 4 |
knowledge diffusion | 4 |
intelligent web | 4 |
participants completed | 4 |
increased significantly | 4 |
patient safety | 4 |
abdulaziz university | 4 |
times higher | 4 |
protectionist measures | 4 |
take place | 4 |
key issues | 4 |
ai techniques | 4 |
learning rate | 4 |
statistically different | 4 |
visualization service | 4 |
direct contact | 4 |
limited case | 4 |
spell checker | 4 |
among neurosurgery | 4 |
healthcare institutions | 4 |
kap towards | 4 |
free radicals | 4 |
retrieval service | 4 |
also showed | 4 |
among chronic | 4 |
distress syndrome | 4 |
two layers | 4 |
higher level | 4 |
due diligence | 4 |
provide appropriate | 4 |
director highlighted | 4 |
study done | 4 |
matrix stores | 4 |
higher risk | 4 |
detect objects | 4 |
worth mentioning | 4 |
technical staff | 4 |
i found | 4 |
good covid | 4 |
reference category | 4 |
north america | 4 |
intellectual content | 4 |
fear towards | 4 |
clinical presentations | 4 |
loebner prize | 4 |
eradicating rumor | 4 |
paradigm shift | 4 |
frontline physicians | 4 |
information seeking | 4 |
infection among | 4 |
two main | 4 |
contract phase | 4 |
unknown answer | 4 |
may lead | 4 |
patterns support | 4 |
research committee | 4 |
communication technology | 4 |
addis ababa | 4 |
done using | 4 |
social relations | 4 |
using questions | 4 |
discovery pattern | 4 |
barriers among | 4 |
postnormal times | 4 |
test set | 4 |
web interaction | 4 |
different ways | 4 |
practices regarding | 4 |
healthcare settings | 4 |
language corpus | 4 |
two questions | 4 |
questions regarding | 4 |
countries around | 4 |
supply chains | 4 |
care team | 4 |
income groups | 4 |
develop serious | 4 |
healthcare centers | 4 |
state machine | 4 |
perceived barriers | 4 |
affiliated hospitals | 4 |
laboratory sciences | 4 |
tested using | 4 |
many people | 4 |
participants believed | 4 |
google form | 4 |
relevant knowledge | 4 |
multiple knowledge | 4 |
public awareness | 4 |
many instances | 4 |
ethics committee | 4 |
disease prevention | 4 |
rapid response | 4 |
coagulation dysfunction | 4 |
intelligent conversation | 4 |
key knowledge | 4 |
future work | 4 |
calculated using | 4 |
outbreak situation | 4 |
early stage | 4 |
target population | 4 |
important intellectual | 4 |
contract management | 4 |
per week | 4 |
hospitals institutions | 4 |
physicians pharmacists | 4 |
corresponding author | 4 |
perception among | 3 |
theoretical considerations | 3 |
outpatient departments | 3 |
study regarding | 3 |
scale ranging | 3 |
consent form | 3 |
state transition | 3 |
medical centers | 3 |
second unbundling | 3 |
healthcare sector | 3 |
research reviews | 3 |
using artificial | 3 |
perceptions regarding | 3 |
trained model | 3 |
top face | 3 |
recent days | 3 |
environmental health | 3 |
medical laboratory | 3 |
hand sanitizer | 3 |
potential covid | 3 |
arabic language | 3 |
current covid | 3 |
basic knowledge | 3 |
higher number | 3 |
computational approaches | 3 |
provocative study | 3 |
significant association | 3 |
convenience sampling | 3 |
previously mentioned | 3 |
fish oil | 3 |
also important | 3 |
given rise | 3 |
sampling strategy | 3 |
whatsapp groups | 3 |
using local | 3 |
incubation period | 3 |
cooperation council | 3 |
coronavirus pneumonia | 3 |
three phases | 3 |
framework described | 3 |
geographical outcomes | 3 |
cause analysis | 3 |
online documents | 3 |
standard precaution | 3 |
professional groups | 3 |
forty years | 3 |
time expression | 3 |
computerized automatic | 3 |
may provide | 3 |
attitudes regarding | 3 |
disease spreading | 3 |
long overdue | 3 |
may help | 3 |
study whether | 3 |
demographic variables | 3 |
exercise id | 3 |
scores indicating | 3 |
graph representing | 3 |
corrupted triple | 3 |
directly engaged | 3 |
safety precautions | 3 |
social movements | 3 |
emerging respiratory | 3 |
among students | 3 |
requirements analysis | 3 |
rater reliability | 3 |
code frequencies | 3 |
environmental governance | 3 |
important factor | 3 |
public community | 3 |
high scores | 3 |
participants showed | 3 |
sp education | 3 |
inadequate preventive | 3 |
based approaches | 3 |
data structure | 3 |
targeted population | 3 |
service training | 3 |
research methods | 3 |
finding suggests | 3 |
decoder layer | 3 |
development studies | 3 |
key matrix | 3 |
respiratory droplets | 3 |
nature remains | 3 |
exercise embedding | 3 |
fake news | 3 |
pest populations | 3 |
features used | 3 |
practices among | 3 |
must also | 3 |
kap toward | 3 |
nurses working | 3 |
mean covid | 3 |
thirteen years | 3 |
table responses | 3 |
outsource vendors | 3 |
recommended guidelines | 3 |
student knowledge | 3 |
poisson regression | 3 |
future computerized | 3 |
ya mbuzi | 3 |
widely spread | 3 |
overestimate knowledge | 3 |
biomedical concepts | 3 |
personalized services | 3 |
egyptians towards | 3 |
social norms | 3 |
large extent | 3 |
envisioned future | 3 |
latent vectors | 3 |
function block | 3 |
surgical procedures | 3 |
daily life | 3 |
prevent transmission | 3 |
prevalent among | 3 |
exercise embeddings | 3 |
double gloving | 3 |
th exercise | 3 |
medical equipment | 3 |
variant planning | 3 |
electronic age | 3 |
poor level | 3 |
analysis based | 3 |
time slicing | 3 |
recent decades | 3 |
encoder layer | 3 |
clinical features | 3 |
saint improves | 3 |
seasonal influenza | 3 |
practices scores | 3 |
missing data | 3 |
knowledge required | 3 |
average total | 3 |
unadjusted phone | 3 |
healthcare personnel | 3 |
handle sars | 3 |
estimates showed | 3 |
financial crisis | 3 |
dealt directly | 3 |
mediated discourse | 3 |
statistical software | 3 |
correct predictions | 3 |
health emergency | 3 |
critical social | 3 |
vendor selection | 3 |
tracking project | 3 |
environmental knowledge | 3 |
mass collaboration | 3 |
made substantial | 3 |
one set | 3 |
personal protection | 3 |
ya kikohozi | 3 |
arabian gulf | 3 |
confidence intervals | 3 |
neurosurgery program | 3 |
target sample | 3 |
least knowledgeable | 3 |
imperfect self | 3 |
optimum processes | 3 |
estimated population | 3 |
economic downturns | 3 |
target populations | 3 |
conversational agents | 3 |
highest score | 3 |
confronting covid | 3 |
creation discourses | 3 |
medical center | 3 |
networks epidemic | 3 |
image features | 3 |
relatively low | 3 |
please make | 3 |
whether rumor | 3 |
among nurses | 3 |
virus among | 3 |
perfect self | 3 |
public compliance | 3 |
several studies | 3 |
english language | 3 |
named entity | 3 |
first reported | 3 |
automatic factories | 3 |
instantiated fb | 3 |
change management | 3 |
portfolio notes | 3 |
outsourcing lifecycle | 3 |
cognitive justice | 3 |
something like | 3 |
main sections | 3 |
mortality rate | 3 |
random sampling | 3 |
ecological knowledge | 3 |
increases nonlinearly | 3 |
participants towards | 3 |
conversation systems | 3 |
social practice | 3 |
public adherence | 3 |
semantic matching | 3 |
embodied conversational | 3 |
sampling frame | 3 |
earliest capp | 3 |
collaborative filtering | 3 |
one example | 3 |
based visualization | 3 |
internal medicine | 3 |
care hcws | 3 |
less susceptible | 3 |
encoder output | 3 |
measured using | 3 |
respondents expressed | 3 |
contingent geographies | 3 |
prevention practices | 3 |
service module | 3 |
many studies | 3 |
senior students | 3 |
expressed confidence | 3 |
term memory | 3 |
state power | 3 |
health risks | 3 |
mode discourse | 3 |
public debate | 3 |
group means | 3 |
integrated system | 3 |
unexpected state | 3 |
information available | 3 |
sense relations | 3 |
useful source | 3 |
unknown node | 3 |
th proposed | 3 |
isolation precautions | 3 |
root causes | 3 |
academic knowledge | 3 |
king abdulaziz | 3 |
published maps | 3 |
drug interactions | 3 |
agency code | 3 |
early phase | 3 |
text mining | 3 |
toward standard | 3 |
american west | 3 |
ehrlichia ruminantium | 3 |
practicing medicine | 3 |
feed forward | 3 |
public regarding | 3 |
article distributed | 3 |
across borders | 3 |
disease knowledge | 3 |
pandemic crisis | 3 |
healthcare system | 3 |
overall mean | 3 |
attitude scores | 3 |
spreading dynamics | 3 |
flu situation | 3 |
based survey | 3 |
effect analysis | 3 |
using knowledge | 3 |
primary health | 3 |
occurrence numbers | 3 |
prevention guidelines | 3 |
confidence level | 3 |
whereby students | 3 |
million people | 3 |
highly ranked | 3 |
evaluate knowledge | 3 |
also used | 3 |
health knowledge | 3 |
social scientists | 3 |
iso iec | 3 |
students may | 3 |
limited knowledge | 3 |
cov among | 3 |
direct risk | 3 |
house wife | 3 |
matching models | 3 |
factoid question | 3 |
adjusted odds | 3 |
median knowledge | 3 |
presence absence | 3 |
control procedures | 3 |
wuhan city | 3 |
matrix knowledge | 3 |
salient information | 3 |
sufficient training | 3 |
remains neutral | 3 |
mechanized selection | 3 |
institutional affiliations | 3 |
adequate training | 3 |
poorer knowledge | 3 |
educational program | 3 |
another way | 3 |
qualitative evaluation | 3 |
implementation framework | 3 |
well known | 3 |
different times | 3 |
rough surface | 3 |
faced many | 3 |
contain rumor | 3 |
final analysis | 3 |
additional i | 3 |
always informed | 3 |
individual differences | 3 |
nd march | 3 |
crisis communication | 3 |
prostate cancer | 3 |
heuristic information | 3 |
university medical | 3 |
risk sources | 3 |
like many | 3 |
towards infectious | 3 |
version control | 3 |
time state | 3 |
paclitaxel may | 3 |
crucial role | 3 |
extraction problem | 3 |
wear masks | 3 |
equilibrium density | 3 |
risk groups | 3 |
care teams | 3 |
relevant information | 3 |
factors predicting | 3 |
computational methods | 3 |
among senior | 3 |
computational drug | 3 |
daily basis | 3 |
automated process | 3 |
cross sectional | 3 |
following inequality | 3 |
public kap | 3 |
higher levels | 3 |
first covid | 3 |
jurisdictional claims | 3 |
awareness diffusion | 3 |
larger penetration | 3 |
students contribute | 3 |
eradicate rumor | 3 |
processes exercise | 3 |
sampling method | 3 |
widely used | 3 |
table questioner | 3 |
also suggested | 3 |
network based | 3 |
responders agree | 3 |
passing model | 3 |
neurosurgical residents | 3 |
may increase | 3 |
design phase | 3 |
performance gains | 3 |
treat patients | 3 |
epi data | 3 |
new machines | 3 |
different health | 3 |
patient data | 3 |
process failure | 3 |
seis model | 3 |
disease patients | 3 |
well presented | 3 |
will need | 3 |
value matrix | 3 |
infected density | 3 |
proper handwashing | 3 |
indicating good | 3 |
clinical services | 3 |
large survey | 3 |
senior programme | 3 |
assets created | 3 |
acquire information | 3 |
eradicating epidemic | 3 |
i think | 3 |
rapid spread | 3 |
conversational system | 3 |
flu pandemic | 3 |
gave final | 3 |
mild symptoms | 3 |
clinical studies | 3 |
identifying drug | 3 |
eastern population | 3 |
face contact | 3 |
vital role | 3 |
education interventions | 3 |
original author | 3 |
problem solving | 3 |
several knowledge | 3 |
constructive use | 3 |
saudi arabian | 3 |
adopted good | 3 |
conversational engines | 3 |
among male | 3 |
communicating tacit | 3 |
overdue paradigm | 3 |
multivariable linear | 3 |
revolutionary new | 3 |
spatiotemporal condition | 3 |
spss statistics | 3 |
age envisioned | 3 |
awareness regarding | 3 |
response embedding | 3 |
bangladeshi population | 3 |
wide variety | 3 |
knowledge flows | 3 |
system known | 3 |
regression models | 3 |
recent outbreak | 3 |
embracing uncertainty | 3 |
targeted health | 3 |
job satisfaction | 3 |
scope phase | 3 |
social network | 3 |
learning processes | 3 |
reported questionnaire | 3 |
viral infection | 3 |
different languages | 3 |
empirically documented | 3 |
medical research | 3 |
response categories | 3 |
formal training | 3 |
still unsolved | 3 |
crisis management | 3 |
graph neural | 3 |
binary logistic | 3 |
total sample | 3 |
first process | 3 |
increased risk | 3 |
pandemic disease | 3 |
urgent need | 3 |
various knowledge | 3 |
mass media | 3 |
project planning | 3 |
embedding vector | 3 |
possibilistic graphs | 3 |
learning process | 3 |
face mask | 3 |
future pharmacists | 3 |
similar study | 3 |
higher among | 3 |
correlation coefficient | 3 |
pandemic continues | 3 |
research since | 3 |
assessing public | 3 |
simple process | 3 |
district hospital | 3 |
score among | 3 |
first capp | 3 |
study findings | 3 |
avoid going | 3 |
accurate information | 3 |
likely associated | 3 |
using information | 3 |
cov knowledge | 3 |
many still | 3 |
domain matrix | 3 |
tm transcribe | 3 |
using stata | 3 |
drug targets | 3 |
much less | 3 |
distributed among | 3 |
access article | 3 |
basic fb | 3 |
important information | 3 |
social reproduction | 3 |
manage knowledge | 3 |
authoritative sources | 3 |
less educated | 3 |
awareness campaigns | 3 |
frequency distribution | 3 |
major threat | 3 |
sore throat | 3 |
lessons learnt | 3 |
two decades | 3 |
public policy | 3 |
support process | 3 |
longer term | 3 |
confirmed mers | 3 |
suspected cases | 3 |
serious illness | 3 |
results may | 3 |
categorical variables | 3 |
several locations | 3 |
policy response | 3 |
manufacturing process | 3 |
knowledge elicitation | 3 |
system cam | 3 |
preventive behaviours | 3 |
neurosurgical programs | 3 |
first large | 3 |
answered correctly | 3 |
capture knowledge | 3 |
online version | 3 |
assets will | 3 |
measures implemented | 3 |
available online | 3 |
operating room | 3 |
chronic illness | 3 |
level among | 3 |
niebel discussed | 3 |
zoonotic disease | 3 |
effective strategies | 3 |
traditional media | 3 |
critical human | 3 |
data collectors | 3 |
batch size | 3 |
opportunistic groups | 3 |
suspected covid | 3 |
cancer drugs | 3 |
important challenges | 3 |
target interactions | 3 |
new jersey | 3 |
transfer knowledge | 3 |
study knowledge | 3 |
tnf protein | 3 |
related health | 3 |
northern kenya | 3 |
directed towards | 3 |
field analysis | 3 |
action event | 3 |
public communication | 3 |
implement ai | 3 |
fbs architecture | 3 |
four days | 3 |
epidemiological characteristics | 3 |
shaking hands | 3 |
questions asked | 3 |
collected via | 3 |
best practices | 3 |
among community | 3 |
final approval | 3 |
pattern matching | 3 |
cov updates | 3 |
low confidence | 3 |
programs may | 3 |
inaccurate information | 3 |
study shows | 3 |
work status | 3 |
factors among | 3 |
trustworthy websites | 3 |
nuclear power | 3 |
cronbach alpha | 3 |
th century | 3 |
hypothesis generation | 3 |
different centers | 3 |
precautions among | 3 |
operating characteristic | 3 |
i present | 3 |
direct patient | 3 |
machining operations | 3 |
required sample | 3 |
tells us | 3 |
two popular | 3 |
human health | 3 |
clinical attachment | 3 |
international concern | 3 |
performed using | 3 |
literature knowledge | 3 |
sciences affiliated | 3 |
control guidelines | 3 |
knowledge claims | 3 |
survey revealed | 3 |
two important | 3 |
findings may | 3 |
springer nature | 3 |
three measures | 3 |
may become | 3 |
automated knowledge | 3 |
global financial | 3 |
world war | 3 |
positive association | 3 |
environment interactions | 3 |
information retrieval | 3 |
knowledge ladder | 3 |
available knowledge | 3 |
different areas | 3 |
community pharmacy | 3 |
interdisciplinary research | 3 |
test sets | 3 |
benchmark dataset | 3 |
prediction models | 3 |
will finally | 3 |
drug repositioning | 3 |
hygiene compliance | 3 |
received training | 3 |
abc model | 3 |
enabled us | 3 |
protein interaction | 3 |
idea units | 3 |
phone participants | 3 |
high knowledge | 3 |
collaborative knowledge | 3 |
respondents adopted | 3 |
highly contagious | 3 |
may make | 3 |
global warming | 3 |
markup language | 3 |
root cause | 3 |
knowledge epidemic | 3 |
research literature | 3 |
embedded algorithms | 3 |
academic year | 3 |
ethical approval | 3 |
urban town | 3 |
adverse effects | 3 |
executable knowledge | 3 |
perfectly effective | 3 |
programs need | 3 |
medical conditions | 3 |
variables included | 3 |
substantial contributions | 3 |
proposed approach | 3 |
saudi residents | 3 |
current state | 3 |
touching contaminated | 3 |
social processes | 3 |
studies show | 3 |
student correctly | 3 |
practice questions | 3 |
user interface | 3 |
human expertise | 3 |
mapafu ya | 3 |
useful information | 3 |
pharmacist competency | 3 |
key geographic | 3 |
identify factors | 3 |
significantly better | 3 |
large enough | 3 |
deontics ltd | 3 |
several capp | 3 |
first part | 3 |
students need | 3 |
infection instruction | 3 |
linear layer | 3 |
cognitive processes | 3 |
outsourcing decisions | 3 |
disease outbreak | 3 |
two different | 3 |
human geographers | 3 |
intellectual artifacts | 3 |
develop effective | 3 |
public places | 3 |
paper aims | 3 |
uncertainty generates | 3 |
phase diagram | 3 |
appropriate answer | 3 |
multilevel natural | 3 |
continuous variables | 3 |
pearson product | 3 |
support knowledge | 3 |
tm scale | 3 |
semantic relation | 3 |
gulf cooperation | 3 |
determined using | 3 |
characteristic curve | 3 |
rumor outbreak | 3 |
knowledge soup | 3 |
separately processes | 3 |
ad hoc | 3 |
wallis test | 3 |
university degree | 3 |
practice compared | 3 |
national survey | 3 |
hygiene techniques | 3 |
decoder input | 3 |
mathematical models | 3 |
practical application | 3 |
unsolved difficulties | 3 |
subcode frequencies | 3 |
i automated | 3 |
get information | 3 |
virtual conferencing | 3 |
differed significantly | 3 |
kd questions | 3 |
business research | 3 |
kikohozi ya | 3 |
combat covid | 3 |
biological data | 3 |
towards preventing | 3 |
also asked | 3 |
significant influence | 3 |
create knowledge | 3 |
knowledge structure | 3 |
three decades | 3 |
data collected | 3 |
eastern countries | 3 |
representative sample | 3 |
least three | 3 |
unidirectional transition | 3 |
research project | 3 |
authors made | 3 |
fbs process | 3 |
though niebel | 3 |
ongoing covid | 3 |
lung disease | 3 |
potential drugs | 3 |
seven questions | 3 |
using maximum | 3 |
vg dataset | 3 |
trusted web | 3 |
two models | 3 |
mean scores | 3 |
unexpected event | 3 |
collected information | 3 |
conversation logs | 3 |
taking care | 3 |
receiver operating | 3 |
science education | 3 |
data model | 3 |
receives information | 3 |
improves saint | 3 |
answering engines | 3 |
social infrastructure | 3 |
response correctness | 3 |
density will | 3 |
prevention training | 3 |
multivariate analysis | 3 |
standard deviations | 3 |
major role | 3 |
possibility graphs | 3 |
average node | 3 |
trust index | 3 |
correct rate | 3 |
incorrect unknown | 3 |
knowledge ranged | 3 |
decade earlier | 3 |
critical care | 3 |
transition equations | 3 |
sparse network | 3 |
additional information | 3 |
significant negative | 3 |
heart disease | 3 |
disease surveillance | 3 |
capp research | 3 |
information sharing | 3 |
hcws towards | 3 |
prevention measures | 3 |
proposed framework | 3 |
number corresponds | 3 |
unstructured text | 3 |
relational data | 3 |
including age | 3 |
written informed | 3 |
allowed us | 3 |
clinical practice | 3 |
bureaucratic rationality | 3 |
one group | 3 |
information related | 3 |
intuitive way | 2 |
line demonstrator | 2 |
survey might | 2 |
will add | 2 |
opening remarks | 2 |
knowledge communication | 2 |
study evaluated | 2 |
remain poor | 2 |
participants seemed | 2 |
two thousand | 2 |
often overload | 2 |
previously published | 2 |
functional definition | 2 |
open data | 2 |
contemporary phenomena | 2 |
target newly | 2 |
fracking industry | 2 |
conceptual knowledge | 2 |
asked students | 2 |
hand washing | 2 |
research agenda | 2 |
prevention education | 2 |
prevalence ratio | 2 |
travel among | 2 |
indicating better | 2 |
specifically targeted | 2 |
infected node | 2 |
receives knowledge | 2 |
main preventative | 2 |
fj nel | 2 |
resource scarcity | 2 |
toxic bodies | 2 |
enable us | 2 |
processing exercise | 2 |
embedding model | 2 |
related metadata | 2 |
social phenomena | 2 |
communication channels | 2 |
coupled dynamics | 2 |
study date | 2 |
hubei province | 2 |
preprint table | 2 |
rumor models | 2 |
physicians aged | 2 |
event recognition | 2 |
final success | 2 |
graph structure | 2 |
openclinical platform | 2 |
will prove | 2 |
high compared | 2 |
syndrome epidemic | 2 |
important knowledge | 2 |
shop floor | 2 |
services provided | 2 |
ppe donning | 2 |
clinical settings | 2 |
three models | 2 |
study suggests | 2 |
luigi vanvitelli | 2 |
knowledge concepts | 2 |
information primarily | 2 |
containment policies | 2 |
relatively high | 2 |
adaptive management | 2 |
paper focuses | 2 |
system knowledge | 2 |
score indicating | 2 |
using television | 2 |
across several | 2 |
nari senanayake | 2 |
higher covid | 2 |
clinical questions | 2 |
best result | 2 |
different outcomes | 2 |
additional file | 2 |
previous work | 2 |
document warehouse | 2 |
kap scores | 2 |
model students | 2 |
north region | 2 |
final phase | 2 |
next step | 2 |
open online | 2 |
based methods | 2 |
females preferred | 2 |
limited government | 2 |
despite consideration | 2 |
mainly physicians | 2 |
catley mohammed | 2 |
rumor plays | 2 |
interaction logs | 2 |
invasive pests | 2 |
high degree | 2 |
among different | 2 |
creation community | 2 |
i feel | 2 |
special ambulance | 2 |
analyse covid | 2 |
many victims | 2 |
first words | 2 |
based approach | 2 |
research protocol | 2 |
proposed model | 2 |
among four | 2 |
contain information | 2 |
health interventions | 2 |
following questions | 2 |
last step | 2 |
generated graph | 2 |
sp among | 2 |
subject matter | 2 |
coronavirus diseases | 2 |
health measures | 2 |
answer rates | 2 |
life threatening | 2 |
international conference | 2 |
two separate | 2 |
border closures | 2 |
medical masks | 2 |
organizational culture | 2 |
patient contact | 2 |
sociodemographic data | 2 |
missing values | 2 |
emergency medicine | 2 |
cls i | 2 |
international borders | 2 |
interactive learning | 2 |
tx hciiv | 2 |
undiscovered public | 2 |
chronic kidney | 2 |
perform well | 2 |
saint achieves | 2 |
addis zemen | 2 |
massive open | 2 |
already happened | 2 |
query approach | 2 |
information resources | 2 |
relatively small | 2 |
hygiene training | 2 |
escalation decision | 2 |
italian authorities | 2 |
lottery method | 2 |
define new | 2 |
forum also | 2 |
human behaviors | 2 |
software engineering | 2 |
recent studies | 2 |
local culture | 2 |
mobile service | 2 |
correctly predict | 2 |
scoring functions | 2 |
significant aspect | 2 |
prototype system | 2 |
vice versa | 2 |
virus causing | 2 |
effective self | 2 |
observed patterns | 2 |
based encoding | 2 |
doctor nurse | 2 |
regarding infectious | 2 |
hospital administrators | 2 |
must satisfy | 2 |
frequently used | 2 |
per group | 2 |
kami activities | 2 |
social interests | 2 |
proposed boxes | 2 |
limited convergence | 2 |
driven model | 2 |
competing interest | 2 |
two codes | 2 |
theoretical method | 2 |
knowledge reuse | 2 |
educational interventions | 2 |
poor practice | 2 |
atk indexes | 2 |
central role | 2 |
predictions per | 2 |
quality control | 2 |
third part | 2 |
separately processing | 2 |
part consisted | 2 |
information contained | 2 |
disease name | 2 |
using masks | 2 |
remote learning | 2 |
systematic model | 2 |
will discuss | 2 |
fared significantly | 2 |
trading system | 2 |
semantic extraction | 2 |
code definitions | 2 |
knowledge life | 2 |
overall practices | 2 |
care activities | 2 |
based reasoning | 2 |
infection called | 2 |
three quarters | 2 |
nan sha | 2 |
civil rights | 2 |
i will | 2 |
hypotheses regarding | 2 |
different structures | 2 |
tk vvxj | 2 |
neoliberal transformation | 2 |
ethiopia knowledge | 2 |
using semrep | 2 |
newly graduated | 2 |
now called | 2 |
different political | 2 |
will come | 2 |
diagnostic closure | 2 |
classical economics | 2 |
early april | 2 |
infect humans | 2 |
move beyond | 2 |
based solutions | 2 |
global scale | 2 |
school year | 2 |
supervised learning | 2 |
zoonotic infection | 2 |
travel diarrhea | 2 |
sars infection | 2 |
plos one | 2 |
life around | 2 |
first jordanian | 2 |
chatterbox challenge | 2 |
risk taking | 2 |
prevent covid | 2 |
learning network | 2 |
research approach | 2 |
social events | 2 |
improving ideas | 2 |
evaluate whether | 2 |
countries like | 2 |
professional responsibilities | 2 |
geographical concepts | 2 |
older counterparts | 2 |
use knowledge | 2 |
estimated sample | 2 |
yd znu | 2 |
scattered across | 2 |
intense continuous | 2 |
seis epidemic | 2 |
always partial | 2 |
health commission | 2 |
existing medical | 2 |
data manager | 2 |
preventing transmission | 2 |
every unit | 2 |
potential therapeutic | 2 |
threshold increases | 2 |
following subsections | 2 |
nz uc | 2 |
time taken | 2 |
gcc countries | 2 |
workers regarding | 2 |
efficient way | 2 |
preferred hand | 2 |
less time | 2 |
specific training | 2 |
likert scales | 2 |
computer aided | 2 |
health service | 2 |
inquiry topics | 2 |
entity given | 2 |
frequent failure | 2 |
per day | 2 |
prevention among | 2 |
months instead | 2 |
greater attention | 2 |
standard operating | 2 |
main decisions | 2 |
risk assessment | 2 |
first question | 2 |
protracted uncertainty | 2 |
future geographic | 2 |
hydraulic fracturing | 2 |
face meetings | 2 |
second part | 2 |
students regarding | 2 |
strong evidence | 2 |
sampling technique | 2 |
grade class | 2 |
two question | 2 |
fhir resources | 2 |
already know | 2 |
knowledge models | 2 |
single one | 2 |
universal precaution | 2 |
different students | 2 |
th february | 2 |
knowledge audit | 2 |
political values | 2 |
transmission dynamics | 2 |
knowledge definitions | 2 |
lower levels | 2 |
make sense | 2 |
infections among | 2 |
preventive strategies | 2 |
different responses | 2 |
control strategies | 2 |
town urban | 2 |
study revealed | 2 |
systemic information | 2 |
highly relevant | 2 |
participants responding | 2 |
saudi ministry | 2 |
local attempts | 2 |
creating knowledge | 2 |
section assessed | 2 |
data definitions | 2 |
forward network | 2 |
fundamental task | 2 |
modeling individualization | 2 |
operating procedures | 2 |
saud bin | 2 |
various types | 2 |
people believe | 2 |
assessing knowledge | 2 |
information sufficiency | 2 |
reported mers | 2 |
semantic triple | 2 |
comput doi | 2 |
ebola virus | 2 |
maintained social | 2 |
targeted setting | 2 |
care pathway | 2 |
measures will | 2 |
local healthcare | 2 |
aini will | 2 |
stores knowledge | 2 |
socially desirable | 2 |
related news | 2 |
research assistant | 2 |
social studies | 2 |
scientific name | 2 |
medical practice | 2 |
manage covid | 2 |
becomes increasingly | 2 |
wild animals | 2 |
repurposing drugs | 2 |
future events | 2 |
spanish flu | 2 |
general information | 2 |
quality standards | 2 |
yet another | 2 |
headed self | 2 |
unique latent | 2 |
order signature | 2 |
drug discovery | 2 |
discourse needed | 2 |
interaction analysis | 2 |
largest publicly | 2 |
bloodborne pathogens | 2 |
might develop | 2 |
safeguard citizens | 2 |
even within | 2 |
google soap | 2 |
similar result | 2 |
different theoretical | 2 |
data bases | 2 |
currently considered | 2 |
single encoder | 2 |
british university | 2 |
existing literature | 2 |
also works | 2 |
extraction process | 2 |
head attention | 2 |
multivariable analysis | 2 |
initial activities | 2 |
seven setups | 2 |
may prove | 2 |
physicians used | 2 |
progressive problem | 2 |
articles demonstrate | 2 |
eid crisis | 2 |
provide high | 2 |
qualitative study | 2 |
high ranging | 2 |
source population | 2 |
distributed vector | 2 |
interactions within | 2 |
public holidays | 2 |
wearing face | 2 |
research focus | 2 |
coronavirus countries | 2 |
identified social | 2 |
many aspects | 2 |
also includes | 2 |
four main | 2 |
scientific work | 2 |
system conditions | 2 |
side effects | 2 |
current health | 2 |
code instances | 2 |
two reasons | 2 |
average age | 2 |
intellectual property | 2 |
effective vaccine | 2 |
raising questions | 2 |
least seconds | 2 |
new method | 2 |
small groups | 2 |
higher educational | 2 |
prompt response | 2 |
lived mostly | 2 |
blood contact | 2 |
experienced healthcare | 2 |
five sections | 2 |
hand sanitizers | 2 |
therapeutic procedure | 2 |
two diseases | 2 |
encoding approach | 2 |
hyper productivity | 2 |
accurate estimation | 2 |
mikael klintman | 2 |
initial stages | 2 |
help users | 2 |
will become | 2 |
science studies | 2 |
article tries | 2 |
study comes | 2 |
knowledge refers | 2 |
behaviors towards | 2 |
presented procedure | 2 |
semantic medline | 2 |
trusted websites | 2 |
knowledge used | 2 |
infection containment | 2 |
nurse medical | 2 |
sri lanka | 2 |
two numerical | 2 |
identifying potential | 2 |
bbox i | 2 |
nodes increases | 2 |
within broader | 2 |
ethical review | 2 |
study demonstrated | 2 |
first half | 2 |
medical language | 2 |
discourses onto | 2 |
adjacent learning | 2 |
scored independently | 2 |
variance test | 2 |
six statements | 2 |
valuable information | 2 |
extraction agent | 2 |
outsourcing process | 2 |
online discussions | 2 |
high school | 2 |
within hospitals | 2 |
collaborative semantic | 2 |
civil society | 2 |
latent variable | 2 |
will require | 2 |
holographic embeddings | 2 |
governance without | 2 |
negative association | 2 |
contributors demonstrate | 2 |
second case | 2 |
information provided | 2 |
adults aged | 2 |
surprisingly small | 2 |
communication layer | 2 |
knowledge practice | 2 |
indicating person | 2 |
first unbundling | 2 |
abdullah international | 2 |
new directions | 2 |
query language | 2 |
considered better | 2 |
policy failure | 2 |
mission briefing | 2 |
several articles | 2 |
getting things | 2 |
line workers | 2 |
practice related | 2 |
cultural values | 2 |
will create | 2 |
also help | 2 |
qualitative methodologies | 2 |
widely accepted | 2 |
fears towards | 2 |
based studies | 2 |
human lives | 2 |
far north | 2 |
controlled successfully | 2 |
economic sciences | 2 |
outsourcing strategy | 2 |
overall procedure | 2 |
knowledge unit | 2 |
significant decrease | 2 |
enrich existing | 2 |
tracking events | 2 |
critical pedagogy | 2 |
data types | 2 |
may cause | 2 |
provided us | 2 |
polyphony framework | 2 |
vector representation | 2 |
sectional analysis | 2 |
extraction technique | 2 |
initial assessment | 2 |
jibp special | 2 |
system implementation | 2 |
transport facilities | 2 |
distributed knowledge | 2 |
somewhat different | 2 |
internet access | 2 |
public often | 2 |
unknown state | 2 |
within countries | 2 |
spread throughout | 2 |
carl bereiter | 2 |
comprehensive knowledge | 2 |
data mining | 2 |
ecological difference | 2 |
indigenous knowledge | 2 |
corresponding bounding | 2 |
national prevention | 2 |
benchmark models | 2 |
predicate types | 2 |
sp practices | 2 |
questionnaire study | 2 |
organisation may | 2 |
gather data | 2 |
two types | 2 |
sample consisted | 2 |
explain betweengroup | 2 |
eastern tanzania | 2 |
cov crisis | 2 |
mentioned earlier | 2 |
political crisis | 2 |
data generated | 2 |
continue via | 2 |
effective educational | 2 |
first prototype | 2 |
even personal | 2 |
triage pathway | 2 |
communicated via | 2 |
one another | 2 |
major causes | 2 |
administrative division | 2 |
illness patients | 2 |
clinical data | 2 |
will continue | 2 |
process will | 2 |
chosen outsource | 2 |
lowest score | 2 |
scholarly knowledge | 2 |
significantly less | 2 |
transportation system | 2 |
speaking pastoralists | 2 |
education knowledge | 2 |
multivariate linear | 2 |
reporting bias | 2 |
based simulation | 2 |
reducing infection | 2 |
will also | 2 |
private hospitals | 2 |
temporal configuration | 2 |
asynchronous discourse | 2 |
via social | 2 |
neurosurgical procedures | 2 |
effective treatment | 2 |
corrupted triples | 2 |
medical responses | 2 |
molecular interaction | 2 |
text retrieval | 2 |
demographic distributions | 2 |
transparentand democratically | 2 |
past two | 2 |
invitation letter | 2 |
also worth | 2 |
students agreed | 2 |
effective means | 2 |
recent computer | 2 |
google earth | 2 |
medical expertise | 2 |
questionnaire consisted | 2 |
essential businesses | 2 |
also applicable | 2 |
data science | 2 |
open source | 2 |
long short | 2 |
knowledge relevant | 2 |
applies self | 2 |
health advice | 2 |
common language | 2 |
jordanian case | 2 |
research area | 2 |
particular vulnerable | 2 |
rapidly worldwide | 2 |
two dependent | 2 |
knew nothing | 2 |
clostridium chauvoei | 2 |
using deep | 2 |
lowest rates | 2 |
asset value | 2 |
great recession | 2 |
counterparts aged | 2 |
posing questions | 2 |
causal mechanisms | 2 |
existing gaps | 2 |
design research | 2 |
recorded almost | 2 |
epidemic vaccination | 2 |
degree entities | 2 |
corresponding pkbs | 2 |
tracking algebra | 2 |
treatment approaches | 2 |
exclusion criteria | 2 |
previous reports | 2 |
effective cure | 2 |
local disease | 2 |
key goals | 2 |
institutional action | 2 |
deep knowledge | 2 |
protein sequences | 2 |
final state | 2 |
centered discourse | 2 |
influenza vaccination | 2 |
corresponding concepts | 2 |
bootstrapping corpora | 2 |
capturing human | 2 |
good prevention | 2 |
news sources | 2 |
novel drugs | 2 |
knowledge levels | 2 |
retrieve real | 2 |
southern region | 2 |
expansive learning | 2 |
greatly reduced | 2 |
frequent word | 2 |
lower level | 2 |
maximum total | 2 |
critical review | 2 |
healthcare services | 2 |
new coding | 2 |
language engineering | 2 |
via respiratory | 2 |
training courses | 2 |
indicating internal | 2 |
calculated based | 2 |
three alternative | 2 |
beneficial outcomes | 2 |
awareness among | 2 |
med doi | 2 |
educ doi | 2 |
call duration | 2 |
social desirability | 2 |
total scores | 2 |
setup operations | 2 |
large numbers | 2 |
level estimation | 2 |
transfer procedural | 2 |
modelling language | 2 |
rare diseases | 2 |
study results | 2 |
fhy qt | 2 |
environmental problems | 2 |
complex systems | 2 |
class rich | 2 |
via aggregation | 2 |
numerical epidemic | 2 |
missing knowledge | 2 |
sp practice | 2 |
will occur | 2 |
early period | 2 |
several blocks | 2 |
virus type | 2 |
mystery kidney | 2 |
recent available | 2 |
three options | 2 |
lead firms | 2 |
increasing trade | 2 |
eastern participants | 2 |
may need | 2 |
pneumonia novel | 2 |
accountableenvironmental politics | 2 |
system based | 2 |
approach provides | 2 |
residential care | 2 |
correctly answer | 2 |
true intelligent | 2 |
social incentives | 2 |
directed graph | 2 |
main topic | 2 |
note format | 2 |
war syndrome | 2 |
pooled output | 2 |
new type | 2 |
immune responses | 2 |
graduated medical | 2 |
resource conflict | 2 |
buruli ulcers | 2 |
three methods | 2 |
epistemic position | 2 |
single factual | 2 |
traditional ecological | 2 |
systematic way | 2 |
attitudes toward | 2 |
news portals | 2 |
acute care | 2 |
graphical contrastive | 2 |
exercise given | 2 |
output generation | 2 |
knowledge domains | 2 |
dedicated service | 2 |
among frontline | 2 |
stata statistical | 2 |
generated wpkgs | 2 |
familial cluster | 2 |
urgent topic | 2 |
several strategies | 2 |
fb structure | 2 |
network helps | 2 |
passenger planes | 2 |
moving beyond | 2 |
collective learning | 2 |
chagas disease | 2 |
hospital environment | 2 |
ranked triples | 2 |
infection caused | 2 |
org fhir | 2 |
useful knowledge | 2 |
frequent asked | 2 |
part comprised | 2 |
theoretical perspectives | 2 |
representational capacity | 2 |
significantly differed | 2 |
traditional means | 2 |
attitudes median | 2 |
urban hotspots | 2 |
regarding policies | 2 |
small droplets | 2 |
towards sp | 2 |
deeply rooted | 2 |
trade war | 2 |
several pkbs | 2 |
nurses regarding | 2 |
modular components | 2 |
public perception | 2 |
local cultural | 2 |
available information | 2 |
deep uncertainty | 2 |
patterns across | 2 |
measure levels | 2 |
contested illnesses | 2 |
clear identification | 2 |
express confidence | 2 |
population characteristics | 2 |
may contribute | 2 |
getting infected | 2 |
overall practice | 2 |
borne diseases | 2 |