id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-004464-nml9kqiu	Lhommet, Claire	Predicting the microbial cause of community-acquired pneumonia: can physicians or a data-driven method differentiate viral from bacterial pneumonia at patient presentation?	2020-03-06		.txt	text/plain	4443	235	43	title: Predicting the microbial cause of community-acquired pneumonia: can physicians or a data-driven method differentiate viral from bacterial pneumonia at patient presentation? Whether the etiology of CAP is viral or bacterial should be determined based on the patient interview, clinical symptoms and signs, biological findings and radiological data from the very first hours of the patient's presentation (a time when microbiological findings are typically not yet available). The aim of our study was to evaluate and compare the abilities of experienced physicians and a data-driven approach to answer this simple question within the first hours of a patient's admission to the ICU for CAP: is it a viral or a bacterial pneumonia? Step 2: clinician and data-driven predictions of microbial etiology Clinicians and a mathematical algorithm were tasked with predicting the microbial etiology of pneumonia cases based on all clinical (43 items), and biological or radiological (17 items) information available in the first 3-h period after admission except for any microbiological findings (Supplementary Table 1 ).	./cache/cord-004464-nml9kqiu.txt	./txt/cord-004464-nml9kqiu.txt