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

Usage Data and Process Outcomes in eHealth Trials (62) Obesity (121) Advanced Data Analytics in eHealth (228) Clinical Informatics (1397) Cardiology (233) Decision Support for Health Professionals (1603)

Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85069, first published .
Machine Learning for Estimating Cardiorespiratory Fitness in Patients With Obesity: Protocol for a Retrospective and Prospective Multicenter Cohort Study

Machine Learning for Estimating Cardiorespiratory Fitness in Patients With Obesity: Protocol for a Retrospective and Prospective Multicenter Cohort Study

Machine Learning for Estimating Cardiorespiratory Fitness in Patients With Obesity: Protocol for a Retrospective and Prospective Multicenter Cohort Study

Authors of this article:

Jarle Berge1, 2, 3 Author Orcid Image ;   Vimala Nunavath4 Author Orcid Image ;   Rikke Aune Asbjørnsen5, 6 Author Orcid Image ;   Heidi Borgeraas1 Author Orcid Image ;   Jens Kristoffer Hertel1 Author Orcid Image ;   Anita Dyb Linge7, 8 Author Orcid Image ;   Inge Groote9 Author Orcid Image ;   Trine Stensrud10 Author Orcid Image ;   Espen Gjevestad3 Author Orcid Image ;   Linda Mathisen1 Author Orcid Image ;   Matthan WA Caan11 Author Orcid Image ;   Martin Paulson12 Author Orcid Image ;   Eva Maria Støa13 Author Orcid Image ;   Jan - Michael Johansen13 Author Orcid Image ;   AI and VO2max Group14 ;   Bjørn-Jostein Singstad1, 4, 5, 9, 15, 16 Author Orcid Image
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