An interpretable mortality prediction model for COVID-19 patients.
Li YanHai-Tao ZhangJorge M. GonçalvesYang XiaoMaolin WangYuqi GuoChuan SunXiuchuan TangLiang JingMingyang ZhangXiang HuangYing XiaoHaosen CaoYanyan ChenTongxin RenFang WangYaru XiaoSufang HuangXi TanNiannian HuangBo JiaoCheng ChengYong ZhangAilin LuoLaurent MombaertsJunyang JinZhiguo CaoShusheng LiHui XuYe YuanPublished in: Nat. Mach. Intell. (2020)
Keyphrases
- prediction model
- early diagnosis
- intensive care
- intensive care unit
- patient data
- septic shock
- patient outcomes
- regression model
- traumatic brain injury
- medical data
- acute myocardial infarction
- prognostic models
- clinical data
- neural network
- predictive model
- response surface methodology
- exponential smoothing
- vital signs
- wavelet neural network
- fuzzy neural network
- bp neural network
- computer aided
- early detection
- health care
- infectious disease
- clinical trials
- high risk
- customer churn
- healthy controls
- stepwise regression
- optimization algorithm
- decision support system