Clinical and inflammatory features based machine learning model for fatal risk prediction of hospitalized COVID-19 patients: results from a retrospective cohort study.

Journal: Annals of medicine
PMID:

Abstract

OBJECTIVES: To appraise effective predictors for COVID-19 mortality in a retrospective cohort study.

Authors

  • Xin Guan
    Guangzhou Xinhua University, Dongguan, China.
  • Bo Zhang
    Department of Clinical Pharmacology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, PR China.
  • Ming Fu
    Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Mengying Li
    Dalian University of Technology, The School of Computer Science and Technology, Dalian, 116024, China.
  • Xu Yuan
    School of Software, Dalian University of Technology, Dalian, Liaoning, China david@dlut.edu.cn.
  • Yaowu Zhu
    Editorial Office of the Journal, Anhui Vocational College of City Management, Hefei 230011, China.
  • Jing Peng
  • Huan Guo
    Department of Occupational and Environmental Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Yanjun Lu
    Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.