The Most Effective Factors in Predicting Bioelectrical Impedance Phase Angle for Classification of Healthy and Depressed Obese Women: An Artificial Intelligence Approach
Abstract:Phase Angle (PhA) is one of the most clinically relevant and important parameters that describes the ratio of body reactance and resistance. It is used for evaluating the nutritional status and determining the risk of various conditions such as cancer, AIDS, and many chronic diseases. The purpose of this research was to assess the most effective factors associated with prediction of PhA in two groups of healthy and depressed obese women. This was done by constructing a predictive model using machine learning m… Show more
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