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Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88750, first published .
Explainable AI for Well-Being Prediction From Lifestyle Data: 2-Study Design

Explainable AI for Well-Being Prediction From Lifestyle Data: 2-Study Design

Explainable AI for Well-Being Prediction From Lifestyle Data: 2-Study Design

Flore Vancompernolle Vromman   1 , PhD ;   Corentin Vande Kerckhove   1 , PhD ;   Joël Gagnon   2, 3 , PhD ;   Camille Pelletier   4 , BA ;   Yannick Dufresne   4 , PhD ;   Simon Coulombe   2, 3, 5, 6, 7, 8 , PhD

1 Louvain Research Institute in Management and Organizations, UCLouvain, Louvain-la-Neuve, Wallonia, Belgium

2 Beneva Research Chair in Mental Health, Self-Management, and Work, Quebec City, QC, Canada

3 Industrial Relations Department, Université Laval, Quebec City, QC, Canada

4 Department of Political Science, Université Laval, Quebec City, QC, Canada

5 CERVO Brain Research Centre, Quebec City, QC, Canada

6 VITAM – Sustainable Health Research Centre, Quebec City, QC, Canada

7 Centre d'études et d'interventions en santé mentale, Quebec City, QC, Canada

8 Centre for the Study of Democratic Citizenship, Montreal, QC, Canada

Corresponding Author:

  • Flore Vancompernolle Vromman, PhD
  • Louvain Research Institute in Management and Organizations
  • UCLouvain
  • Place de l'Université 1
  • Louvain-la-Neuve, Wallonia 1348
  • Belgium
  • Phone: 32 479251700
  • Email: flore.vromman@gmail.com