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Machine learning based early warning system enables accurate mortality risk prediction for COVID-19.
Gao, Yue; Cai, Guang-Yao; Fang, Wei; Li, Hua-Yi; Wang, Si-Yuan; Chen, Lingxi; Yu, Yang; Liu, Dan; Xu, Sen; Cui, Peng-Fei; Zeng, Shao-Qing; Feng, Xin-Xia; Yu, Rui-Di; Wang, Ya; Yuan, Yuan; Jiao, Xiao-Fei; Chi, Jian-Hua; Liu, Jia-Hao; Li, Ru-Yuan; Zheng, Xu; Song, Chun-Yan; Jin, Ning; Gong, Wen-Jian; Liu, Xing-Yu; Huang, Lei; Tian, Xun; Li, Lin; Xing, Hui; Ma, Ding; Li, Chun-Rui; Ye, Fei; Gao, Qing-Lei.
Afiliação
  • Gao Y; National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Cai GY; Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Fang W; National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Li HY; Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Wang SY; GNSS Research Center, Wuhan University, Wuhan, 430079, China.
  • Chen L; National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Yu Y; Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Liu D; National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Xu S; Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Cui PF; City University of Hong Kong Shenzhen Research Institute, Shenzhen, 518000, China.
  • Zeng SQ; National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Feng XX; Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Yu RD; National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Wang Y; Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Yuan Y; National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Jiao XF; Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Chi JH; National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Liu JH; Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Li RY; National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Zheng X; Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Song CY; Department of Gastroenterology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Jin N; National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Gong WJ; Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Liu XY; National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Huang L; Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Tian X; National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Li L; Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Xing H; National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Ma D; Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Li CR; National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Ye F; Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
  • Gao QL; National Medical Center for Major Public Health Events, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China.
Nat Commun ; 11(1): 5033, 2020 10 06.
Article em En | MEDLINE | ID: mdl-33024092

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Infecções por Coronavirus / Pandemias / Aprendizado de Máquina Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged País como assunto: Asia Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Infecções por Coronavirus / Pandemias / Aprendizado de Máquina Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged País como assunto: Asia Idioma: En Ano de publicação: 2020 Tipo de documento: Article