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Paper Details

Clinically Interpretable Machine Learning Models for Early Prediction of Mortality in Older Patients with Multiple Organ Dysfunction Syndrome: An International Multicenter Retrospective Study.
J Gerontol A Biol Sci Med Sci
4
2023
MODS, Multiple Organ Dysfunction Syndrome, Multiple organ dysfunction syndrome, Patients, comorbidities, patients
Aged, Hospital Mortality, Hospitals, Humans, Machine Learning, Multiple Organ Failure, Retrospective Studies
Author NameAffiliation
Xiaoli LiuBeijing Advanced Innovation Center for Biomedical Engineering, Beihang University
Xiaoli LiuInstitute for Medical Engineering and Science, Massachusetts Institute of Technology
Xiaoli LiuCenter for Artificial Intelligence in Medicine, The General Hospital of PLA
Clark DuMontierNew England Geriatric Research Education and Clinical Center, VA Boston Healthcare System
Clark DuMontierBrigham and Women's Hospital
Pan HuThe Hospital of Joint Logistic Support Force of Chinese PLA
Pan HuThe First Medical Center, The General Hospital of PLA
Chao LiuThe First Medical Center, The General Hospital of PLA
Wesley YeungNational University Hospital
Wesley YeungInstitute for Medical Engineering and Science, Massachusetts Institute of Technology
Zhi MaoThe First Medical Center, The General Hospital of PLA
Vanda HoNational University Hospital
Patrick J Thoral
Po-Chih KuoInstitute for Medical Engineering and Science, Massachusetts Institute of Technology
Po-Chih KuoNational Tsing Hua University
Jie HuThe First Medical Center, The General Hospital of PLA
Deyu LiBeijing Advanced Innovation Center for Biomedical Engineering, Beihang University
Desen CaoThe General Hospital of PLA
Roger G MarkInstitute for Medical Engineering and Science, Massachusetts Institute of Technology
Feihu ZhouThe First Medical Center, The General Hospital of PLA
Feihu ZhouThe General Hospital of PLA
Zhengbo ZhangBeijing Advanced Innovation Center for Biomedical Engineering, Beihang University
Zhengbo ZhangCenter for Artificial Intelligence in Medicine, The General Hospital of PLA
Leo Anthony CeliInstitute for Medical Engineering and Science, Massachusetts Institute of Technology
Leo Anthony CeliBeth Israel Deaconess Medical Center
Leo Anthony CeliHarvard T.H. Chan School of Public Health
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