id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-348975-plne3xlz	Wagner, Tyler	Augmented curation of clinical notes from a massive EHR system reveals symptoms of impending COVID-19 diagnosis	2020-07-07		.txt	text/plain	4920	212	41	By contrasting Electronic Health Record (EHR)-derived symptoms of COVID-19-positive (COVID(pos); n = 2,317) versus COVID-19-negative (COVID(neg); n = 74,850) patients for the week preceding the PCR testing date, we identify anosmia/dysgeusia (27.1-fold), fever/chills (2.6-fold), respiratory difficulty (2.2-fold), cough (2.2-fold), myalgia/arthralgia (2-fold), and diarrhea (1.4-fold) as significantly amplified in COVID(pos) over COVID(neg) patients. In order to investigate the time course of COVID-19 progression in patients and better define the presence or absence of symptoms, we used BERT-based deep neural networks to extract symptoms and their putative synonyms from the clinical notes for the week prior to the date when the COVID-19 diagnosis test was taken (see Materials and methods; Table 1 ). Augmented curation of the unstructured clinical notes from the EHR reveals specific clinically confirmed phenotypes that are amplified in COVID pos patients over COVID neg patients in the week prior to the SARS-CoV-2 PCR testing date.	./cache/cord-348975-plne3xlz.txt	./txt/cord-348975-plne3xlz.txt