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

AI in Older Adult Care (225) Wearable Devices and Sensors (1577) Fitness Trackers and Smart Pedometers/Accelerometers (792) Machine Learning (3151) Artificial Intelligence (4741) Computer-Aided Diagnosis (419) Frailty Detection, Assessment and Prediction (231)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77140, first published .
Elderly man wearing a health monitoring device walks down a hospital hallway.

Machine Learning Approach for Frailty Detection in Long-Term Care Using Accelerometer-Measured Gait and Daily Physical Activity: Model Development and Validation Study

Machine Learning Approach for Frailty Detection in Long-Term Care Using Accelerometer-Measured Gait and Daily Physical Activity: Model Development and Validation Study

Authors of this article:

Xiaoping Zheng1 Author Orcid Image ;   Ziwei Zeng1 Author Orcid Image ;   Kimberley S van Schooten2, 3 Author Orcid Image ;   Yijian Yang1, 4 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Kumar M, Lee S, Chien Y, Hsiao-Kuang Wu E, Chen C, Yeh S. A Clinically Validated Multi-Model Fusion Framework Integrating Machine Learning and LSTM Networks for Real-Time Geriatric Frailty Assessment. IEEE Access 2026;14:1552 View
  2. Maltese G, Karalliedde J, Dhesi J, Bellary S. Type 1 diabetes, ageing and frailty: an underexplored intersection. Diabetologia 2026;69(5):1133 View
  3. Nahid N, Hassan I, Ahad M, Inoue S. Integrating Care Context With Skeleton and Depth Information for Older Adult Activity Recognition in a Care Facility Using Care-Assessment-Aware Spatiotemporal Transformer: Method and Validation Study. JMIR Aging 2026;9:e80102 View
  4. Niscola P, Gianfelici V, Laureana R, Giovannini M, Mazzone C, Efficace F, Principe M. Artificial Intelligence for Personalized Management of Acute Myeloid Leukemia. Journal of Personalized Medicine 2026;16(8):397 View
  5. Şahin Anılgan İ, Anılgan O. An Interdisciplinary Approach to Long-Term Care: Artificial Intelligence Applications for Monitoring Nutritional Status and Social Well-Being. İstanbul Gelişim Üniversitesi Sağlık Bilimleri Dergisi 2026;(29):163 View