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

Clinical Information and Decision Making (1339) Dementia and Cognitive Decline (429) Data Science (231) Information Retrieval (271) Machine Learning (1400) Artificial Intelligence (1214) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (543)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41858, first published .
Using Hypothesis-Led Machine Learning and Hierarchical Cluster Analysis to Identify Disease Pathways Prior to Dementia: Longitudinal Cohort Study

Using Hypothesis-Led Machine Learning and Hierarchical Cluster Analysis to Identify Disease Pathways Prior to Dementia: Longitudinal Cohort Study

Using Hypothesis-Led Machine Learning and Hierarchical Cluster Analysis to Identify Disease Pathways Prior to Dementia: Longitudinal Cohort Study

Authors of this article:

Shih-Tsung Huang1, 2 Author Orcid Image ;   Fei-Yuan Hsiao3, 4, 5 Author Orcid Image ;   Tsung-Hsien Tsai6 Author Orcid Image ;   Pei-Jung Chen6 Author Orcid Image ;   Li-Ning Peng2, 7 Author Orcid Image ;   Liang-Kung Chen2, 7, 8 Author Orcid Image
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