首页|Machine learning-based equations for improved body composition estimation in Ind ian adults
Machine learning-based equations for improved body composition estimation in Ind ian adults
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from me drxiv.org:"Bioelectrical impedance analysis (BIA) is commonly used as a lower-cost measure ment of bodycomposition as compared to dual-energy X-ray absorptiometry (DXA) a nd magnetic resonance imaging(MRI) in large-scale epidemiological studies."However, existing equations for body composition based on BIA measures may not generalize well toall settings. We combined BIA measurements (TANITA BC-418) wi th skinfold thickness, body circumferences,and grip strength to develop equatio ns to predict six DXA-measured body composition parametersin a cohort of Indian adults using machine learning techniques. The participants were split into trai ning(80%, 1297 males and 1133 females) and testing (20% , 318 males and 289 females) data to develop andvalidate the performance of equ ations for total body fat mass (kg), total body lean mass (kg), total bodyfat p ercentage (%), trunk fat percentage (%), L1-L4 fat per centage (%), and total appendicular leanmass (kg), separately for males and females.
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