Clinical trial
Machine Learning for Estimating Cardiorespiratory Fitness in Patients With Obesity
Active, not recruiting · Not applicable · 0 countries · Registry ID NCT07011108
Active, not recruitingNot applicableObservational
What this study is about
The primary aim of this study is to develop an obesity-specific machine learning (ML) model capable of accurately estimating VO2max, a key indicator of cardiovascular fitness.
A promising-looking record is not the same as confirmed eligibility. The study team must review the full criteria and current recruitment status.
Basic eligibility
Age18 Years to 100 Years
SexAll
Healthy volunteersNot accepted
ConditionObesity; Overweight
Full registry criteria
Inclusion Criteria: * diagnosed with severe obesity * body mass index (BMI) ≥40.0 kg •m-2, or 35.0-39.9 kg •m-2 with at least one obesity-related comorbidity Exclusion Criteria: * not obese
Treatments and study arms
No intervention (observational study)
Other
no intervention
Primary outcomes
Machine learning model to estimate vo2maxThe project will be completed in 2027
The primary aim of this study is to develop an obesity-specific ML model capable of accurately estimating VO2max, a key indicator of cardiovascular fitness
Study locations
0 locations were listed when this page was built. The first 40 are shown.
No public site location was included in this record. Check the original registry for updates.