id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-332180-dw4h69tp	Cheng, Fu-Yuan	Using Machine Learning to Predict ICU Transfer in Hospitalized COVID-19 Patients	2020-06-01		.txt	text/plain	4130	166	39	The non-ICU bed to ICU transfer rate in our cohort was 3.7 percent, which created an extreme class imbalance between the majority class (feature vectors without the occurrence of ICU transfer within 24 h) and the minority class (feature vectors with ICU transfer within 24 h). Low sample size and class imbalance resulting from low ICU transfer rates are major limitations to this version of the model, which resulted in low precision.	cache/cord-332180-dw4h69tp.txt	txt/cord-332180-dw4h69tp.txt
