id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-314986-uhpe69k0	Cai, Quan	A model based on CT radiomic features for predicting RT-PCR becoming negative in coronavirus disease 2019 (COVID-19) patients	2020-10-20		.txt	text/plain	3744	211	48	title: A model based on CT radiomic features for predicting RT-PCR becoming negative in coronavirus disease 2019 (COVID-19) patients Our purpose is to assess a model based on chest computed tomography (CT) radiomic features and clinical characteristics to predict RT-PCR negativity during clinical treatment. METHODS: From February 10 to March 10, 2020, 203 mild COVID-19 patients in Fangcang Shelter Hospital were retrospectively included (training: n = 141; testing: n = 62), and clinical characteristics were collected. We collected the clinical data and chest CT features of mild COVID-19 patients in Fangcang Shelter Hospital in Wuhan, Hubei, aiming to establish a predictive model for RT-PCR becoming negative during the recovery period. We analyzed chest CT images after the abnormal clinical symptoms disappeared, and proposed a combination model of radiomic features and clinical data to predict RT-PCR negativity.	./cache/cord-314986-uhpe69k0.txt	./txt/cord-314986-uhpe69k0.txt