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Advances in digital anthropometric body composition assessment: neural network algorithm prediction of appendicular lean mass - European Journal of Clinical Nutrition
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Currently available anthropometric body composition prediction equations were often developed on small participant samples, included only several measured predictor variables, or were prepared using conventional statistical regression methods. Machine learning approaches are increasingly publicly available and have key advantages over statistical modeling methods when developing prediction algorithms on large datasets with multiple complex covariates.
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