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This paper is in the following e-collection/theme issue:

AI in Older Adult Care (225) Secondary Use of Clinical Data for Research and Surveillance (630) Machine Learning (3148) Aging with Chronic Disease (530) Computer-Aided Diagnosis (419)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59810, first published .
Elderly woman with gray hair reading sheet music with Italian text

Determinants of Visual Impairment Among Chinese Middle-Aged and Older Adults: Risk Prediction Model Using Machine Learning Algorithms

Determinants of Visual Impairment Among Chinese Middle-Aged and Older Adults: Risk Prediction Model Using Machine Learning Algorithms

Authors of this article:

Lijun Mao1 Author Orcid Image ;   Zhen Yu2 Author Orcid Image ;   Luotao Lin3 Author Orcid Image ;   Manoj Sharma4, 5 Author Orcid Image ;   Hualing Song1 Author Orcid Image ;   Hailei Zhao1 Author Orcid Image ;   Xianglong Xu1, 6, 7 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Lu C, Wan S, Liu Z. Determinants of depressive symptoms in multinational middle-aged and older adults. npj Digital Medicine 2025;8(1) View
  2. Jasmine N, Daniel G, Hassan A, Arlette M, Audrey N, Arlette N, Godefroy K, Yacouba M. Study of the Association between Neurological Disorders and Visual Function Impairments at the Ophthalmology Unit of Douala General Hospital, Cameroon. Open Journal of Ophthalmology 2025;15(02):74 View
  3. Fang Y, Cao K. Dementia Rehabilitation Needs and Risk Prediction in Chinese Middle-Aged and Older Adults: Insights from GBD-WHO and CHARLS. The American Journal of Geriatric Psychiatry 2026 View

Books/Policy Documents

  1. Xie W, Chen X, Cai C. Function, Frailty, and Futility in Eyecare for Older Adults. View