id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-339491-lyld3up2	Prakash, A.	Using Machine Learning to assess Covid-19 risks	2020-06-23		.txt	text/plain	4192	250	55	A dataset based on these statistics were generated and was then fed into an unsupervised learning algorithm to reveal patterns and identify similar groups of people in the population. PARTICIPANTS: The adult population were considered for the analysis, development and validation of the model RESULTS: Of 1 million observations generated, 20% of them exhibited Covid symptoms and patterns, and 80% of them belonged to the asymptomatic and non-infected group of people. Using this, our proposed method captures these statistics along with some clinical background and generates a dataset on which we intend to apply an unsupervised learning algorithm to identify patterns and classify them into risk cohorts. Covid based research has evidently increased since the pandemic has struck and related resources are available extensively today, and this method has tried to capture these studies into an interpretable form for analysis and categorization of different risk cohorts that were validated against current data.	./cache/cord-339491-lyld3up2.txt	./txt/cord-339491-lyld3up2.txt