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

Aging with Chronic Disease (132) AI in Older Adult Care (32) Clinical Information and Decision Making (1628) Machine Learning (1710) Dementia and Cognitive Decline (581) Decision Support for Health Professionals (1328) Clinical Informatics (1148)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54748, first published .
Self-Explainable Graph Neural Network for Alzheimer Disease and Related Dementias Risk Prediction: Algorithm Development and Validation Study

Self-Explainable Graph Neural Network for Alzheimer Disease and Related Dementias Risk Prediction: Algorithm Development and Validation Study

Self-Explainable Graph Neural Network for Alzheimer Disease and Related Dementias Risk Prediction: Algorithm Development and Validation Study

Authors of this article:

Xinyue Hu1, 2 Author Orcid Image ;   Zenan Sun2 Author Orcid Image ;   Yi Nian2 Author Orcid Image ;   Yichen Wang3 Author Orcid Image ;   Yifang Dang2 Author Orcid Image ;   Fang Li1, 2 Author Orcid Image ;   Jingna Feng1, 2 Author Orcid Image ;   Evan Yu2 Author Orcid Image ;   Cui Tao1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Alharbi H, Juanatas R, Al Hejaili A, Lim S. Spectral graph convolutional neural network for Alzheimer's disease diagnosis and multi-disease categorization from functional brain changes in magnetic resonance images. Frontiers in Neuroinformatics 2024;18 View
  2. Mahamud E, Assaduzzaman M, Islam J, Fahad N, Hossen M, Ramanathan T. Enhancing Alzheimer's disease detection: An explainable machine learning approach with ensemble techniques. Intelligence-Based Medicine 2025;11:100240 View
  3. Lazli L. Improved Alzheimer Disease Diagnosis With a Machine Learning Approach and Neuroimaging: Case Study Development. JMIRx Med 2025;6:e60866 View