How to use machine learning and fuzzy cognitive maps to test hypothetical scenarios in health behavior change interventions: a case study on fruit intake.

Journal: BMC public health
PMID: 38082297

Abstract

BACKGROUND: Intervention planners use logic models to design evidence-based health behavior interventions. Logic models that capture the complexity of health behavior necessitate additional computational techniques to inform decisions with respect to the design of interventions.

Authors

  • Samvel Mkhitaryan
    Department of Health Promotion, CAPHRI, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands. mkhitarian.samvel@gmail.com.
  • Philippe J Giabbanelli
    Department of Computer Science & Software Engineering Miami University 205 Benton Hall Oxford OH 45056 USA.
  • Maciej K Wozniak
    KTH Royal Institute of Technology: Stockholm, Stockholm, SE, Sweden.
  • Nanne K de Vries
    Department of Health Promotion, CAPHRI, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
  • Anke Oenema
    Department of Health Promotion, CAPHRI, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
  • Rik Crutzen
    Department of Health Promotion, CAPHRI, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.

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