id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-264563-c3wbie4i	Karni, N.	Self-rated smell ability enables highly specific predictors of COVID-19 status: a case control study in Israel	2020-08-01		.txt	text/plain	1458	103	59	A penalized logistic regression classifier based on 5 symptoms (degree of smell change, muscle ache, lack of appetite, fever, and a negatively contributing sore throat), has 66% sensitivity, 97% specificity and an area under the ROC curve of 0.83 (AUC) on a hold-out set. Conclusions: Self-reported quantitative olfactory changes, either alone or combined with other symptoms, provide a specific and powerful tool for clinical diagnosis of COVID-19. 71 Earlier studies have already suggested associations between anosmia (loss of smell) 72 and the coronavirus causing Severe Acute Respiratory Syndrome (SARS), SARS-CoV-1. Taste and smell change often, but not always, together: Figure combinations of symptoms established better classifiers than Classifier 1, those using 279 quantitative questions exhibiting better performance than those using binary ones. Using the quantitative smell and taste descriptors resulted in higher AUC's 300 than binary (yes/no) descriptors of these changes.	./cache/cord-264563-c3wbie4i.txt	./txt/cord-264563-c3wbie4i.txt