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

Formative Evaluation of Digital Health Interventions (2410) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Machine Learning (1465) Demographics of Users, Social & Digital Divide (739) Obesity and Nutrition as Public Health Problem (304)

Published on in Vol 6, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40404, first published .
Predicting Overweight and Obesity Status Among Malaysian Working Adults With Machine Learning or Logistic Regression: Retrospective Comparison Study

Predicting Overweight and Obesity Status Among Malaysian Working Adults With Machine Learning or Logistic Regression: Retrospective Comparison Study

Predicting Overweight and Obesity Status Among Malaysian Working Adults With Machine Learning or Logistic Regression: Retrospective Comparison Study

Authors of this article:

Jyh Eiin Wong1 Author Orcid Image ;   Miwa Yamaguchi2 Author Orcid Image ;   Nobuo Nishi2 Author Orcid Image ;   Michihiro Araki2 Author Orcid Image ;   Lei Hum Wee1, 3 Author Orcid Image
Article Authors Cited by (5) Tweetations (5) Metrics

Jyh Eiin Wong   1 , PhD ;   Miwa Yamaguchi   2 , PhD ;   Nobuo Nishi   2 , MD, PhD ;   Michihiro Araki   2 , PhD ;   Lei Hum Wee   1, 3 , PhD

1 Centre for Community Health Studies, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia

2 National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan

3 Faculty of Health and Medical Sciences, School of Medicine, Taylor's University, Selangor, Malaysia

Corresponding Author:

  • Jyh Eiin Wong, PhD
  • Centre for Community Health Studies
  • Faculty of Health Sciences
  • Universiti Kebangsaan Malaysia
  • Jalan Raja Muda Abdul Aziz
  • Kuala Lumpur, 50300
  • Malaysia
  • Phone: 60 39289 ext 7683
  • Email: wjeiin@ukm.edu.my