Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39972, first published .
Machine Learning Approaches for Predicting Psoriatic Arthritis Risk Using Electronic Medical Records: Population-Based Study

Machine Learning Approaches for Predicting Psoriatic Arthritis Risk Using Electronic Medical Records: Population-Based Study

Machine Learning Approaches for Predicting Psoriatic Arthritis Risk Using Electronic Medical Records: Population-Based Study

Leon Tsung-Ju Lee   1, 2, 3, 4 , MD, MSci ;   Hsuan-Chia Yang   1 , PhD ;   Phung Anh Nguyen   5, 6 , PhD ;   Muhammad Solihuddin Muhtar   5 , BA ;   Yu-Chuan Jack Li   1, 7 , MD, PhD

1 Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan

2 Graduate Institute of Clinical Medicine, Taipei Medical University, Taipei, Taiwan

3 Department of Dermatology, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan

4 Department of Dermatology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan

5 Graduate Institute of Data Science, Taipei Medical University, Taipei, Taiwan

6 Department of Healthcare Information and Management, Ming Chuan University, Taoyuan, Taiwan

7 Department of Dermatology, Taipei Municipal Wanfang Hospital, Taipei Medical University, Taipei, Taiwan

Corresponding Author:

  • Yu-Chuan Jack Li, MD, PhD
  • Department of Dermatology
  • Taipei Municipal Wanfang Hospital
  • Taipei Medical University
  • No 111, Section 3
  • Hsing-Long Rd
  • Taipei, 116
  • Taiwan
  • Phone: 886 02-2930-7930
  • Email: jack@tmu.edu.tw