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

Artificial Intelligence (2144) Dementia and Cognitive Decline (699) Machine Learning (2081) Clinical Information and Decision Making (1927) Precision Medicine (160) Digital Biomarkers and Digital Phenotyping (287)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65028, first published .
Forecasting Subjective Cognitive Decline: AI Approach Using Dynamic Bayesian Networks

Forecasting Subjective Cognitive Decline: AI Approach Using Dynamic Bayesian Networks

Forecasting Subjective Cognitive Decline: AI Approach Using Dynamic Bayesian Networks

Authors of this article:

Antti Etholén1 Author Orcid Image ;   Teemu Roos2 Author Orcid Image ;   Mirja Hänninen1, 3 Author Orcid Image ;   Ioanna Bouri2 Author Orcid Image ;   Jenni Kulmala4, 5, 6 Author Orcid Image ;   Ossi Rahkonen1 Author Orcid Image ;   Anne Kouvonen7, 8 Author Orcid Image ;   Tea Lallukka1 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Zhang M, Zhong M, Cheng Y, Zhang T. Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study. JMIR Medical Informatics 2025;13:e74940 View