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Detecting Parkinson Disease Using a Web-Based Speech Task: Observational Study
Little et al [12] introduced pitch period entropy (PPE) as a measure of dysphonia to distinguish healthy people from people with PD with 91% accuracy. Later, Tsanas [13] expanded on this by calculating 132 dysphonia measures to classify PD versus control with almost 99% accuracy. In addition, Peker et al [14] used a novel feature selection technique with a complex-valued artificial neural network.
J Med Internet Res 2021;23(10):e26305
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