Evaluating Maximum Oxygen Intake and Exercise Intensity Using a Decision Tree Approach: Towards Personalized Exercise Prescription

With escalating rates of obesity and related health issues due to sedentary lifestyles and poor dietary habits, precise prescription of exercise intensity has gained utmost importance.Traditional methods of determining exercise intensity rely on statistical formulas, which may not accurately reflect individual differences.The purpos of this study is to present an innovative approach utilizing the Decision Tree method and the Classification and Regression Tree (CART) algorithm to estimate exercise intensity, drawing on biometric data including maximum oxygen uptake, oxygen intake reserve, maximum heart rate, and heart rate reserve.The approach was tested on 20 men with relative exercise intensity determined using the Heart Rate Reserve (HRR).Results revealed that this approach could accurately estimate maximum oxygen uptake up to 70% HRR with an error rate less than 10%.