Prediction of Parkinson Disease Using Long-Term, Short-Term Acoustic Features Based on Machine Learning

<b>Background:</b> Parkinson’s disease (PD) is the second most common neurodegenerative disorder after Alzheimer’s disease, affecting countless individuals worldwide. PD is characterized by the onset of a marked motor symptomatology in association with several non-motor manifestations. T...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Brain Sciences
المؤلفون الرئيسيون: Mehdi Rashidi, Serena Arima, Andrea Claudio Stetco, Chiara Coppola, Debora Musarò, Marco Greco, Marina Damato, Filomena My, Angela Lupo, Marta Lorenzo, Antonio Danieli, Giuseppe Maruccio, Alberto Argentiero, Andrea Buccoliero, Marcello Dorian Donzella, Michele Maffia
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2025-07-01
الموضوعات:
Parkinson’s disease
machine learning
vocal features
mel-frequency cepstral coefficient
الوصول للمادة أونلاين:https://www.mdpi.com/2076-3425/15/7/739

الانترنت

https://www.mdpi.com/2076-3425/15/7/739

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