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

Machine Learning (1999) Obesity and Nutrition as Public Health Problem (382) Data Science (349) Public (e)Health, Digital Epidemiology and Public Health Informatics (961) Diabetes (251) Diabetes Surveillance and Epidemiology (36)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64479, first published .
Identification of Clusters in a Population With Obesity Using Machine Learning: Secondary Analysis of The Maastricht Study

Identification of Clusters in a Population With Obesity Using Machine Learning: Secondary Analysis of The Maastricht Study

Identification of Clusters in a Population With Obesity Using Machine Learning: Secondary Analysis of The Maastricht Study

Authors of this article:

Maik JM Beuken1 Author Orcid Image ;   Melanie Kleynen2 Author Orcid Image ;   Susy Braun2 Author Orcid Image ;   Kees Van Berkel1, 3 Author Orcid Image ;   Carla van der Kallen4, 5 Author Orcid Image ;   Annemarie Koster6, 7 Author Orcid Image ;   Hans Bosma6, 7 Author Orcid Image ;   Tos TJM Berendschot8 Author Orcid Image ;   Alfons JHM Houben4, 5 Author Orcid Image ;   Nicole Dukers-Muijrers9, 10 Author Orcid Image ;   Joop P van den Bergh4, 11 Author Orcid Image ;   Abraham A Kroon4, 5 Author Orcid Image ;   Maastricht Study Management12 ;   Iris M Kanera2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Maik JM Beuken   1 , MEd ;   Melanie Kleynen   2 , PhD ;   Susy Braun   2 , PhD ;   Kees Van Berkel   1, 3 , PhD ;   Carla van der Kallen   4, 5 , PhD ;   Annemarie Koster   6, 7 , PhD ;   Hans Bosma   6, 7 , PhD ;   Tos TJM Berendschot   8 , PhD ;   Alfons JHM Houben   4, 5 , PhD ;   Nicole Dukers-Muijrers   9, 10 , PhD ;   Joop P van den Bergh   4, 11 , PhD ;   Abraham A Kroon   4, 5 , PhD ;   Maastricht Study Management   12 ;   Iris M Kanera   2 , PhD

1 Faculty of Financial Management, Research Center for Statistics & Data Science, Zuyd University of Applied Sciences, Sittard, The Netherlands

2 Faculty of Health, School of Physiotherapy, Research Center for Nutrition, Lifestyle and Exercise, Zuyd University of Applied Sciences, Heerlen, The Netherlands

3 Department of Data Collection, Research and Innovation, Statistics Netherlands, Heerlen, The Netherlands

4 Department of Internal Medicine, Maastricht University Medical Center+, Maastricht, The Netherlands

5 Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands

6 Department of Social Medicine, Maastricht University, Maastricht, The Netherlands

7 Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands

8 University Eye Clinic Maastricht, Maastricht University, Maastricht, The Netherlands

9 Department of Health Promotion, Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands

10 Department of Sexual Health, Infectious Diseases and Environmental Health, Living Lab Public Health Mosa, Public Health Service South Limburg, Heerlen, The Netherlands

11 Department of Internal Medicine, VieCuri Medical Center, Venlo, The Netherlands

12 See Acknowledgments, Maastricht, The Netherlands

Corresponding Author:

  • Maik JM Beuken, MEd
  • Faculty of Financial Management
  • Research Center for Statistics & Data Science
  • Zuyd University of Applied Sciences
  • Ligne 1
  • Sittard 6131 MT
  • The Netherlands
  • Phone: 31 682243809
  • Email: maik.beuken@zuyd.nl