Predicting 5-Year Survival and Mortality in Dementia Patients: A Data-Driven Approach Using XGBoost for Enhanced Care and Resource Allocation
The XGBoost model effectively predicts 5-year survival in dementia patients, identifying key predictors that can guide targeted care, preventive strategies, and healthcare resource planning.
Authors
- Jin Narumoto (ORCID: https://orcid.org/0000-0002-8262-3177)
- Chih‐Sung Liang (ORCID: https://orcid.org/0000-0003-1138-5586)
- Mu‐Hong Chen (ORCID: https://orcid.org/0000-0001-6516-1073)
- Ta‐Chuan Yeh
- Hsin‐An Chang (ORCID: https://orcid.org/0000-0001-5572-7109)
- Yi‐Guang Wang
- Nian-Sheng Tzeng
Institutions
- National Taipei University of Technology (TW)
- Taipei Veterans General Hospital (TW)
- Kyoto Prefectural University of Medicine (JP)
- Hualien Armed Forces General Hospital (TW)
- Zuoying Armed Forces General Hospital (TW)
- National Defense Medical Center (TW)
Publication Details
- Journal
- Psychiatry Investigation
- Published
- 2025-08-29
- DOI
- https://doi.org/10.30773/pi.2024.0351
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Tri-Service General Hospital