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

Shih-Tsung Huang   1, 2 * , PharmD, PhD ;   Fei-Yuan Hsiao   3, 4, 5 * , PhD ;   Tsung-Hsien Tsai   6 , PhD ;   Pei-Jung Chen   6 , ME ;   Li-Ning Peng   2, 7 , MD, PhD ;   Liang-Kung Chen   2, 7, 8 , MD, PhD

1 Department of Pharmacy, National Yang Ming Chiao Tung University, Taipei, Taiwan

2 Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan

3 Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan

4 School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan

5 Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan

6 Advanced Tech Business Unit, Acer, New Taipei City, Taiwan

7 Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan

8 Taipei Municipal Gan-Dau Hospital (Managed by Taipei Veterans General Hospital), Taipei, Taiwan

*these authors contributed equally

Corresponding Author:

  • Liang-Kung Chen, MD, PhD
  • Center for Geriatrics and Gerontology
  • Taipei Veterans General Hospital
  • No. 201, Sec 2, Shih-Pai Road
  • Taipei, 11217
  • Taiwan
  • Phone: 886 2-28757711
  • Email: lkchen2@vghtpe.gov.tw