id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-005496-cnwg4dnn	Gutierrez, Guillermo	Artificial Intelligence in the Intensive Care Unit	2020-03-24		.txt	text/plain	5011	235	40	Whereas humans develop generalized concepts on the basis of just a few examples, training a machine learning algorithm requires large quantities of data. Other studies have been published describing the use of machine learning models in generating patient-specific risk scores for pulmonary emboli [30] , risk stratification of ARDS [31] , prediction of acute kidney injury in severely burned patients [32] and in general ICU populations [33] , prediction of volume responsiveness after fluid administration [34] and identification of patients likely to develop complicated Clostridium difficile infection [35] . evaluated several types of machine learning algorithms, including random forest, naïve Bayes, and AdaBoost on data recorded from 62 mechanically ventilated patients with or at risk of ARDS. Machine learning algorithms have been used to analyze data stored in electronic medical records to predict ICU mortality and length of stay.	./cache/cord-005496-cnwg4dnn.txt	./txt/cord-005496-cnwg4dnn.txt