What are some machine learning projects that predict energy expenditure based on various physiological variables? I'm interested in learning about how different models have been developed to accurately predict calorie burn based on things like heart rate, oxygen consumption, and body composition. Are there any specific algorithms or techniques that have been particularly successful in this area? Additionally, are there any open datasets or resources available for anyone interested in exploring this topic further?
Measurement of oxygen consumption and carbon dioxide production while at rest or during low- to moderate-intensity exercise are sufficient to calculate energy expenditure. If you want to determine energy expenditure during non-steady state conditions (e.g., onset of exercise) or high-intensity exercise, that becomes more challenging.
We’re talking about children in a paediatric ICU. Is that a confounding variable?
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