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An eight-fold cross validation model with five hidden layers Artificial Neural Network was constructed to test the reliability and accuracy of classifying the frailty status of the participants in the study. Six selected gait parameters were identified and used as inputs to the model. The performance of the model was evaluated using the area under the curve. A 95% confidence interval was calculated to assess the reliability of the prediction.
