Development and validation of a machine learning-based claims frailty index for predicting mortality, disability, and healthcare utilization in middle-aged and older adults.
- DOI
- 10.1016/j.exger.2026.113338
- Published
- 2026 Sep 24
- Container
- Experimental gerontology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.exger.2026.113338,
title = {Development and validation of a machine learning-based claims frailty index for predicting mortality, disability, and healthcare utilization in middle-aged and older adults.},
author = {Hwang AC and Tseng SF and Chen LK and Hsiao FY and Chen LY and Lin MH and Peng LN},
year = {2026},
journal = {Experimental gerontology},
doi = {10.1016/j.exger.2026.113338},
url = {https://doi.org/10.1016/j.exger.2026.113338}
}RIS
TY - JOUR TI - Development and validation of a machine learning-based claims frailty index for predicting mortality, disability, and healthcare utilization in middle-aged and older adults. AU - Hwang AC AU - Tseng SF AU - Chen LK AU - Hsiao FY AU - Chen LY AU - Lin MH AU - Peng LN PY - 2026 JO - Experimental gerontology DO - 10.1016/j.exger.2026.113338 UR - https://doi.org/10.1016/j.exger.2026.113338 ER -
APA
AC, H., SF, T., LK, C., FY, H., LY, C., MH, L., & LN, P. (2026). Development and validation of a machine learning-based claims frailty index for predicting mortality, disability, and healthcare utilization in middle-aged and older adults.. Experimental gerontology. https://doi.org/10.1016/j.exger.2026.113338
Source records
- pubmed · retrieved 2026-09-25T05:50:35.709Z