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

Machine Learning (1501) Artificial Intelligence (1421) Dementia and Cognitive Decline (502) Cognitive Training for the Elderly (98)

Published on in Vol 8, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19870, first published .
Using Dual Neural Network Architecture to Detect the Risk of Dementia With Community Health Data: Algorithm Development and Validation Study

Using Dual Neural Network Architecture to Detect the Risk of Dementia With Community Health Data: Algorithm Development and Validation Study

Using Dual Neural Network Architecture to Detect the Risk of Dementia With Community Health Data: Algorithm Development and Validation Study

Authors of this article:

Xiao Shen1 Author Orcid Image ;   Guanjin Wang2 Author Orcid Image ;   Rick Yiu-Cho Kwan3 Author Orcid Image ;   Kup-Sze Choi1 Author Orcid Image
Article Authors Cited by (6) Tweetations (1) Metrics

Journals

  1. Choi K, Chan S, Ho C, Matejak M. Development of a Healthcare Information System for Community Care of Older Adults and Evaluation of Its Acceptance and Usability. DIGITAL HEALTH 2022;8:205520762211090 View
  2. Zhou N, Du Y, Liu J, Huang X, Shen X, Choi K. Robust semi-supervised data representation and imputation by correntropy based constraint nonnegative matrix factorization. Applied Intelligence 2023;53(10):11599 View
  3. Abdulazeem H, Whitelaw S, Schauberger G, Klug S, Vathy-Fogarassy Á. A systematic review of clinical health conditions predicted by machine learning diagnostic and prognostic models trained or validated using real-world primary health care data. PLOS ONE 2023;18(9):e0274276 View
  4. Araf I, Idri A, Chairi I. Cost-sensitive learning for imbalanced medical data: a review. Artificial Intelligence Review 2024;57(4) View
  5. Shen X, Choi K, Zhou X. Dual separated attention-based graph neural network. Neurocomputing 2024;599:128106 View