A Machine Learning–Based Fall Risk Prediction Model for Middle-Aged and Older Adults with Comorbid Cardiovascular Disease and Arthritis: Development and Geographic Split-Sample Validation

Ying Zhang, Yan Li

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DOI: 10.1177/15491684261496130
Published: 2026-10-11
Container: Rejuvenation Research
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/15491684261496130,
  title = {A Machine Learning–Based Fall Risk Prediction Model for Middle-Aged and Older Adults with Comorbid Cardiovascular Disease and Arthritis: Development and Geographic Split-Sample Validation},
  author = {Ying Zhang and Yan Li},
  year = {2026},
  journal = {Rejuvenation Research},
  doi = {10.1177/15491684261496130},
  url = {https://doi.org/10.1177/15491684261496130}
}

RIS

TY  - JOUR
TI  - A Machine Learning–Based Fall Risk Prediction Model for Middle-Aged and Older Adults with Comorbid Cardiovascular Disease and Arthritis: Development and Geographic Split-Sample Validation
AU  - Ying Zhang
AU  - Yan Li
PY  - 2026
JO  - Rejuvenation Research
DO  - 10.1177/15491684261496130
UR  - https://doi.org/10.1177/15491684261496130
ER  -

APA

Zhang, Y., & Li, Y. (2026). A Machine Learning–Based Fall Risk Prediction Model for Middle-Aged and Older Adults with Comorbid Cardiovascular Disease and Arthritis: Development and Geographic Split-Sample Validation. Rejuvenation Research. https://doi.org/10.1177/15491684261496130

Source records

crossref · retrieved 2026-11-10T13:24:17.179Z