NCT07011108进行中（未招募）不适用
Machine Learning for Estimating Cardiorespiratory Fitness in Patients With Obesity
适应症
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 入组人数
- 1,700
- 主要终点
- Machine learning model to estimate vo2max
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Other
入排标准
- 年龄范围
- 18 Years 至 100 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •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
排除标准
- •not obese
结局指标
主要结局
Machine learning model to estimate vo2max
时间窗: 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
次要结局
未报告次要终点
研究者
Jarle Berge
Phd, associate professor
Sykehuset i Vestfold HF
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