Obesity; Overweight
Conditions
Keywords
Obesity; overweight; Cardiorespiratory fitness; VO2max; Machine learning; ML, web-application;
Brief summary
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.
Interventions
OTHERNo intervention (observational study)
no intervention
Sponsors
Sykehuset i Vestfold HF
Study design
Observational model
COHORT
Time perspective
OTHER
Eligibility
Sex/Gender
ALL
Age
18 Years to 100 Years
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Machine learning model to estimate vo2max | The 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 |
Outcome results
None listed