Supervised models, especially Support Vector Regression, predict lean mass, bone density, and body fat from 3D optical scans with roughly 8-11% error, while the p-Laplacian model stays around 10-20% when only 10% of patients are labeled.
The rise of artificial intelligence in healthcare applications
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Predicting Anthropometric Body Composition Variables Using 3D Optical Imaging and Machine Learning
Supervised models, especially Support Vector Regression, predict lean mass, bone density, and body fat from 3D optical scans with roughly 8-11% error, while the p-Laplacian model stays around 10-20% when only 10% of patients are labeled.