Published on in Vol 22, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16213, first published .
Comparisons Between Hypothesis- and Data-Driven Approaches for Multimorbidity Frailty Index: A Machine Learning Approach

Comparisons Between Hypothesis- and Data-Driven Approaches for Multimorbidity Frailty Index: A Machine Learning Approach

Comparisons Between Hypothesis- and Data-Driven Approaches for Multimorbidity Frailty Index: A Machine Learning Approach

Li-Ning Peng 1, 2, 3*, MD, PhD;  Fei-Yuan Hsiao 4, 5, 6*, PhD;  Wei-Ju Lee 1, 2, 3, 7, MD, PhD;  Shih-Tsung Huang 4, PharmD, MS;  Liang-Kung Chen 1, 2, 3, MD, PhD

1 Aging and Health Research Center, National Yang Ming University , Taipei , TW

2 Center for Geriatrics and Gerontology, Taipei Veterans General Hospital , Taipei , TW

3 Department of Geriatric Medicine, National Yang Ming University School of Medicine , Taipei , TW

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

5 School of Pharmacy, College of Medicine, National Taiwan University, Taipei , TW

6 Department of Pharmacy, National Taiwan University Hospital , Taipei , TW

7 Department of Family Medicine, Taipei Veterans General Hospital Yuanshan Branch , Yi-Lan , TW

*these authors contributed equally

Corresponding Author:

  • Liang-Kung Chen, MD, PhD
  • Center for Geriatrics and Gerontology
  • Taipei Veterans General Hospital
  • 201, Section 2, Shih-Pai Road
  • Taipei
  • TW
  • Phone: 886 2-28757830
  • Email: lkchen2@vghtpe.gov.tw