Fig. 4: Combining tapping, voice and gait/rest data improves performance in diagnosing PD. | Communications Biology

Fig. 4: Combining tapping, voice and gait/rest data improves performance in diagnosing PD.

From: Heterogeneous digital biomarker integration out-performs patient self-reports in predicting Parkinson’s disease

Fig. 4

a A total of 2729 individuals (645 PD) who had all three types of data were split into the same cross-validation folds and to train gait/rest, voice, and tapping models. The models are combined together by averaging the prediction scores from each model. b Assembling accelerometer and coordinate tapping data models exceeds the performance of either single model. (c) and (d) depict the comparison among gait/rest, voice, tapping, and assembled models. The combined model achieves the best performance.

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