An interpretable mortality prediction model for COVID-19 patients

Yan Li; Haitao Zhang; Jorge Gonçalves; Yang Xiao; Maolin Wang; Yuqi Guo; Chuan Sun; Xiuchuan Tang; Jing Liang; 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

doi:10.1038/s42256-020-0180-7

Keywords

DiseaseMedicineMortality ratePneumoniaIntensive care medicineCoronavirus disease 2019 (COVID-19)Health careEmergency medicineLactic dehydrogenaseInternal medicineInfectious disease (medical specialty)

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Publication Info

Year: 2020
Type: article
Volume: 2
Issue: 5
Pages: 283-288
Citations: 1002
Access: Closed

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APA Style

                            
                                
                                    Yan Li, 
                                
                                    Haitao Zhang, 
                                
                                    Jorge Gonçalves
                                
                                et al.
                            
                            (2020). 
                            An interpretable mortality prediction model for COVID-19 patients. 
                            Nature Machine Intelligence
                            , 2
                            (5)
                            , 283-288.
                            https://doi.org/10.1038/s42256-020-0180-7
                        

Identifiers

DOI: 10.1038/s42256-020-0180-7