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Peer-reviewedCC BY-NC-ND 4.0BMC Public Health

Interpretable machine learning for identifying poor physical fitness in adults across three high-altitude regions of Tibet: a cross-sectional study

  • Ting Chen
  • Xin Zhao
  • Ruizhe Sun
  • Ba Bian
  • Weibao Liang
Open at sourceDOICite

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Cite

BibTeXRIS
BibTeX
@article{chen2026interpretable,
  title = {{Interpretable machine learning for identifying poor physical fitness in adults across three high-altitude regions of Tibet: a cross-sectional study}},
  author = {Ting Chen and Xin Zhao and Ruizhe Sun and Ba Bian and Weibao Liang},
  journal = {BMC Public Health},
  year = {2026},
  month = oct,
  doi = {10.1186/s12889-026-29461-z},
  url = {https://link.springer.com/10.1186/s12889-026-29461-z},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Interpretable machine learning for identifying poor physical fitness in adults across three high-altitude regions of Tibet: a cross-sectional study
AU  - Ting Chen
AU  - Xin Zhao
AU  - Ruizhe Sun
AU  - Ba Bian
AU  - Weibao Liang
PY  - 2026
DA  - 2026/10/01
JO  - BMC Public Health
DO  - 10.1186/s12889-026-29461-z
UR  - https://link.springer.com/10.1186/s12889-026-29461-z
SN  - 1471-2458
ER  -