Machine Learning for Estimating Cardiorespiratory Fitness in Patients With Obesity (FitML-O)

Sykehuset i Vestfold HF

Status: Active, not recruiting

Conditions: Obesity; Overweight

Treatments: Other: No intervention (observational study)

Study type: Observational

Funder types: Other

Identifiers

NCT07011108

FitML-O

Details and patient eligibility

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.

Enrollment: 1,700 estimated patients

Sex: All

Ages: 18 to 100 years old

Volunteers: No Healthy Volunteers

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