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Clinical Interventions in Aging Volume 19, 2024 - Issue
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ORIGINAL RESEARCH

Explainable Deep Learning Model for Predicting Serious Adverse Events in Hospitalized Geriatric Patients Within 72 Hours

Ting-Yu Hsu1 Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, TaiwanView further author information
,
Chi-Yung Cheng1 Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan;2 Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung, TaiwanCorrespondence[email protected] [email protected]
ORCID Iconhttps://orcid.org/0000-0002-1109-9339View further author information
ORCID Icon,
I-Min Chiu1 Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan;2 Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung, TaiwanView further author information
,
Chun-Hung Richard Lin2 Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung, TaiwanView further author information
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Fu-Jen Cheng1 Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, TaiwanView further author information
,
Hsiu-Yung Pan1 Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, TaiwanView further author information
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Yu-Jih Su3 Department of Internal Medicine, Division of Rheumatology, Allergy and Immunology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, TaiwanView further author information
&
Chao-Jui Li1 Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, TaiwanCorrespondence[email protected] [email protected]
View further author information
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Pages 1051-1063 | Received 29 Feb 2024, Accepted 04 Jun 2024, Published online: 12 Jun 2024

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