Explainable AI for Well-Being Prediction From Lifestyle Data: 2-Study Design
- DOI
- 10.2196/88750
- Published
- 2026-05-08
- Container
- JMIR Mental Health
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.2196/88750,
title = {Explainable AI for Well-Being Prediction From Lifestyle Data: 2-Study Design},
author = {Flore Vancompernolle Vromman and Corentin Vande Kerckhove and Joël Gagnon and Camille Pelletier and Yannick Dufresne and Simon Coulombe},
year = {2026},
journal = {JMIR Mental Health},
doi = {10.2196/88750},
url = {https://doi.org/10.2196/88750}
}RIS
TY - JOUR TI - Explainable AI for Well-Being Prediction From Lifestyle Data: 2-Study Design AU - Flore Vancompernolle Vromman AU - Corentin Vande Kerckhove AU - Joël Gagnon AU - Camille Pelletier AU - Yannick Dufresne AU - Simon Coulombe PY - 2026 JO - JMIR Mental Health DO - 10.2196/88750 UR - https://doi.org/10.2196/88750 ER -
APA
Vromman, F. V., Kerckhove, C. V., Gagnon, J., Pelletier, C., Dufresne, Y., & Coulombe, S. (2026). Explainable AI for Well-Being Prediction From Lifestyle Data: 2-Study Design. JMIR Mental Health. https://doi.org/10.2196/88750
Source records
- crossref · retrieved 2026-09-27T04:40:35.999Z