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ROC curves of four machine learning classifiers (logistic regression, support vector machine, random forest, and artificial neural network) across six feature sets (DGI, CSQ, MTC, DGI + CSQ, DGI + MTC, and All), showing that objective mobility tests achieved the strongest single-domain discrimination for fall history classification (AUC up to 0.89).
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HIGHER EDUCATION PRESS
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