Litcius/Paper detail

An interpretable mortality prediction model for COVID-19 patients

Yan Li, Hai-Tao Zhang, Jorge Gonçalves, Yang Xiao, Maolin Wang, Yuqi Guo, Chuan Sun, Xiuchuan Tang, Liang Jing, Mingyang Zhang, Xiang Huang, Ying Xiao, Haosen Cao, Yanyan Chen, Tongxin Ren, Fang Wang, Yaru Xiao, Sufang Huang, Xi Tan, Niannian Huang, Bo Jiao, Cheng Cheng, Yong Zhang, Ailin Luo, Laurent Mombaerts, Junyang Jin, Zhiguo Cao, Shusheng Li, Hui Xu, Ye Yuan

2020Nature Machine Intelligence1,029 citationsDOIOpen Access PDF

Topics & Concepts

DiseaseMedicineMortality ratePneumoniaIntensive care medicineCoronavirus disease 2019 (COVID-19)Health careEmergency medicineLactic dehydrogenaseInternal medicineInfectious disease (medical specialty)EnzymeBiochemistryEconomicsEconomic growthChemistryCOVID-19 Clinical Research StudiesCOVID-19 diagnosis using AISARS-CoV-2 and COVID-19 Research
An interpretable mortality prediction model for COVID-19 patients | Litcius