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

Cross-Sectional Studies in Public Health (314) Machine Learning (1627) Public Health Policy (67)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46634, first published .
Development of a Prediction Model for Healthy Life Years Without Activity Limitation: National Cross-sectional Study

Development of a Prediction Model for Healthy Life Years Without Activity Limitation: National Cross-sectional Study

Development of a Prediction Model for Healthy Life Years Without Activity Limitation: National Cross-sectional Study

Authors of this article:

Masahiro Nishi1, 2 Author Orcid Image ;   Reo Nagamitsu2, 3 Author Orcid Image ;   Satoaki Matoba1 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Cai J, Hu W, Yang Y, Chen S, Si A, Zhang Y, Jing H, Gong L, Liu S, Mi B, Ma J, Yan H, Chen F. Healthy life expectancy for 202 countries up to 2030: Projections with a Bayesian model ensemble. Journal of Global Health 2023;13 View
  2. Nishi M, Nagamitsu R, Matoba S. Association between daily step counts and healthy life years: a national cross-sectional study in Japan. BMJ Health & Care Informatics 2024;31(1):e101051 View
  3. 张 沈. Construction of a Trajectory Prediction Model for Disability-Free Life Expectancy in Middle-Aged and Elderly People Based on Long Short-Term Memory Networks. Modeling and Simulation 2025;14(01):324 View

Books/Policy Documents

  1. Perez-Vereda A, Ortega A, González I, Fontecha J. Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024). View