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Predicting MIRA patients' performance using virtual rehabilitation program by decision tree modeling

from Recent Advances in Intelligent Systems and Smart Applications

Predicting MIRA patients' performance using virtual rehabilitation program by decision tree modeling Recent Advances in Intelligent Systems and Smart Applications Virtual reality therapy (VRT) has recently gained attention for upper limb rehabilitation due to its positive impacts on patients’ performance. However, physiotherapists who manage the input settings of exergames according to specific movements cannot easily predict the future performance of the patients based on their observations. Thus, this study proposes a decision tree model to predict MIRA patients' future performance for three difficulty levels (easy, medium and hard) with respect to their previous/last session records. READ MORE

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