Machine learning-based prediction of disability risk in geriatric patients with hypertension for different time intervals.

Journal: Archives of gerontology and geriatrics
PMID: 36335673

Abstract

BACKGROUND: The risk of disability in older adults with hypertension is substantially high, and prediction of disability risk is crucial for subsequent management. This study aimed to construct prediction models of disability risk for geriatric patients with hypertension at different time intervals, as well as to assess the important predictors and influencing factors of disability.

Authors

  • Chaoyi Xiang
    The State Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiang'an Nan Road, Xiang'an District, Xiamen, Fujian 361102, China; Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, China.
  • Yafei Wu
    The State Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China.
  • Maoni Jia
    The State Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiang'an Nan Road, Xiang'an District, Xiamen, Fujian 361102, China; Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, China.
  • Ya Fang
    The State Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China.

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