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

Journal: JMIR medical informatics
PMID: 39908080

Abstract

BACKGROUND: Modern lifestyle risk factors, like physical inactivity and poor nutrition, contribute to rising rates of obesity and chronic diseases like type 2 diabetes and heart disease. Particularly personalized interventions have been shown to be effective for long-term behavior change. Machine learning can be used to uncover insights without predefined hypotheses, revealing complex relationships and distinct population clusters. New data-driven approaches, such as the factor probabilistic distance clustering algorithm, provide opportunities to identify potentially meaningful clusters within large and complex datasets.

Authors

  • Maik Jm Beuken
    Faculty of Financial Management, Research Center for Statistics & Data Science, Zuyd University of Applied Sciences, Sittard, Netherlands.
  • Melanie Kleynen
    Research Centre for Nutrition, Lifestyle and Exercise, Faculty of Health, Zuyd University of Applied Sciences, Heerlen, The Netherlands.
  • Susy Braun
    Faculty of Health, School of Physiotherapy, Research Center for Nutrition, Lifestyle and Exercise, Zuyd University of Applied Sciences, Heerlen, Netherlands.
  • Kees Van Berkel
    Faculty of Financial Management, Research Center for Statistics & Data Science, Zuyd University of Applied Sciences, Sittard, Netherlands.
  • Carla van der Kallen
    Department of Internal Medicine, Maastricht University Medical Center+, Maastricht, Netherlands.
  • Annemarie Koster
    CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands.
  • Hans Bosma
    Department of Social Medicine, Maastricht University, Maastricht, Netherlands.
  • Tos Tjm Berendschot
    University Eye Clinic Maastricht, Maastricht University Medical Center (MUMC+), Maastricht, Netherlands.
  • Alfons Jhm Houben
    Department of Internal Medicine, Maastricht University Medical Center+, Maastricht, Netherlands.
  • Nicole Dukers-Muijrers
    Department of Health Promotion, Care and Public Health Research Institute, Maastricht University, Maastricht, Netherlands.
  • Joop P van den Bergh
    Department of Internal Medicine, Maastricht University Medical Center+, Maastricht, Netherlands.
  • Abraham A Kroon
    Department of Internal Medicine, Maastricht University Medical Center+, Maastricht, Netherlands.
  • Iris M Kanera
    Faculty of Health, School of Physiotherapy, Research Center for Nutrition, Lifestyle and Exercise, Zuyd University of Applied Sciences, Heerlen, Netherlands.

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