Construction and evaluation of a CatBoost-based machine learning model for sarcopenia prediction using bioelectrical impedance analysis (BIA) and handgrip strength (HGS) from a nationally representative dataset of Korean older adults
- DOI
- 10.1186/s12877-026-07852-6
- Published
- 2026-07-01
- Container
- BMC Geriatrics
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12877-026-07852-6,
title = {Construction and evaluation of a CatBoost-based machine learning model for sarcopenia prediction using bioelectrical impedance analysis (BIA) and handgrip strength (HGS) from a nationally representative dataset of Korean older adults},
author = {Sungjong Shin and Jung Min Cho},
year = {2026},
journal = {BMC Geriatrics},
doi = {10.1186/s12877-026-07852-6},
url = {https://doi.org/10.1186/s12877-026-07852-6}
}RIS
TY - JOUR TI - Construction and evaluation of a CatBoost-based machine learning model for sarcopenia prediction using bioelectrical impedance analysis (BIA) and handgrip strength (HGS) from a nationally representative dataset of Korean older adults AU - Sungjong Shin AU - Jung Min Cho PY - 2026 JO - BMC Geriatrics DO - 10.1186/s12877-026-07852-6 UR - https://doi.org/10.1186/s12877-026-07852-6 ER -
APA
Shin, S., & Cho, J. M. (2026). Construction and evaluation of a CatBoost-based machine learning model for sarcopenia prediction using bioelectrical impedance analysis (BIA) and handgrip strength (HGS) from a nationally representative dataset of Korean older adults. BMC Geriatrics. https://doi.org/10.1186/s12877-026-07852-6
Source records
- crossref · retrieved 2026-09-26T14:12:53.718Z