首页> BMJ open> Forecasting disease trajectories in critical illness: comparison of probabilistic dynamic systems to static models to predict patient status in the intensive care unit.

Forecasting disease trajectories in critical illness: comparison of probabilistic dynamic systems to static models to predict patient status in the intensive care unit.

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第一作者： Abhijit,Duggal

第一单位： Department of Critical Care, Cleveland Clinic, Cleveland, Ohio, USA duggala2@ccf.org.

作者： Abhijit,Duggal ^[1] ; Rachel,Scheraga ^[2] ; Gretchen L,Sacha ^[3] ; Xiaofeng,Wang ^[4] ; Shuaqui,Huang ^[4] ; Sudhir,Krishnan ^[2] ; Matthew T,Siuba ^[2] ; Heather,Torbic ^[3] ; Siddharth,Dugar ^[2] ; Simon,Mucha ^[2] ; Joshua,Veith ^[2] ; Eduardo,Mireles-Cabodevila ^[2] ; Seth R,Bauer ^[3] ; Shravan,Kethireddy ^[2] ; Vidula,Vachharajani ^[2] ; Jarrod E,Dalton ^[5]

作者单位： Department of Critical Care, Cleveland Clinic, Cleveland, Ohio, USA duggala2@ccf.org. ^[1] Department of Critical Care, Cleveland Clinic, Cleveland, Ohio, USA. ^[2] Department of Pharmacy, Cleveland Clinic, Cleveland, Ohio, USA. ^[3] Department of Qualitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA. ^[4] Department of Qualitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.;Cleveland Clinic, Cleveland, Ohio, USA. ^[5]

关键词 Adult intensive & critical care INTENSIVE & CRITICAL CARE STATISTICS & RESEARCH METHODS

医学主题词人类(Humans);危重病(Critical Illness);回顾性研究(Retrospective Studies);重症监护病房(Intensive Care Units);住院(Hospitalization);危重病人医疗(Critical Care)

DOI 10.1136/bmjopen-2023-079243

PMID 38320842

发布时间 2025-04-01

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