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

Clinical Information and Decision Making (1340) Dementia and Cognitive Decline (429) Data Science (232) Information Retrieval (271) Machine Learning (1401) Artificial Intelligence (1216) 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
Article Authors Cited by (4) Tweetations (2) Metrics

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  3. Jayawickrama S, Ranaweera P, Pradeep R, Jayasinghe Y, Senevirathna K, Hilmi A, Rajapakse R, Kanmodi K, Jayasinghe R. Developments and future prospects of personalized medicine in head and neck squamous cell carcinoma diagnoses and treatments. Cancer Reports 2024;7(3) View
  4. Hedges D, Chase M, Farrer T, Gale S. Psychiatric Disease as a Potential Risk Factor for Dementia: A Narrative Review. Brain Sciences 2024;14(7):722 View