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Paper Details

Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation.
Lancet Digit Health
4
2023
Patient, critical illness, frailty, nitrogen, patients, urea
Aged, Critical Illness, Frailty, Humans, Intensive Care Units, Machine Learning, Retrospective Studies, United States
Author NameAffiliation
Xiaoli LiuBeihang University, China Center for Artificial Intelligence in Medicine, Chinese PLA General Hospital, Institute for Medical Engineering and Science, Massachusetts Institute of Technology
Pan HuThe Hospital of Joint Logistic Support Force of Chinese PLA, The First Medical Center of PLA General Hospital
Wesley YeungInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, National University Heart Centre
Zhongheng ZhangSir Run Run Shaw Hospital, Zhejiang University School of Medicine
Vanda HoNational University Hospital
Chao LiuThe First Medical Center of PLA General Hospital
Clark DuMontierNew England Geriatric Research Education and Clinical Center, VA Boston Healthcare System, Brigham and Women's Hospital
Patrick J ThoralCenter for Critical Care Computational Intelligence, Vrije Universiteit
Zhi MaoThe First Medical Center of PLA General Hospital
Desen CaoChinese PLA General Hospital
Roger G MarkInstitute for Medical Engineering and Science, Massachusetts Institute of Technology
Zhengbo ZhangCenter for Artificial Intelligence in Medicine, Chinese PLA General Hospital
Mengling FengSaw Swee Hock School of Public Health and the Institute of Data Science, National University of Singapore
Deyu LiBeihang University
Leo Anthony CeliInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Beth Israel Deaconess Medical Center, Harvard T H Chan School of Public Health
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