id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-272727-a5ngjuyz	Bertsimas, D.	From predictions to prescriptions: A data-drivenresponse to COVID-19	2020-06-29		.txt	text/plain	3596	209	53	Specifically, we propose a comprehensive data-driven approach to understand the clinical characteristics of COVID-19, predict its mortality, forecast its evolution, and ultimately alleviate its impact. Each column reports 128 cohort-level statistics on demographics (e.g., average age, gen-129 der breakdown), comorbidities (e.g., prevalence of diabetes, 130 hypertension), symptoms (e.g., prevalence of fever, cough), 131 treatments (e.g., prevalence of antibiotics, intubation), lab 132 values (e.g., average lymphocyte count), and clinical outcomes 133 (e.g., average hospital length of stay, mortality rate). The models with lab values provide 309 algorithmic screening tools that can deliver COVID-19 risk 310 predictions using common clinical features. These findings 333 are also in agreement with clinical reports: an elevated CRP 334 generally indicates an early sign of infection and implies lung 335 lesions from COVID-19 (27), elevated levels of leukocytes 336 suggest cytokine release syndrome caused by SARS-CoV-2 337 virus (28), and lowered levels of serum calcium signal higher 338 rate of organ injury and septic shock (29) .	./cache/cord-272727-a5ngjuyz.txt	./txt/cord-272727-a5ngjuyz.txt