Early Diagnosis of Parkinson's Disease with Speech Pronunciation Features Based on XGBoost Model

Speech disorder is one of the early symptoms of Parkinson's disease. In order to accurately diagnose the Parkinson's disease in early time, we propose a Parkinson's disease diagnosis method based on machine learning. XGBoost algorithm was applied to detect and classify the speech sign...

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Vydané v:	2022 IEEE 2nd International Conference on Software Engineering and Artificial Intelligence (SEAI) s. 209 - 213
Hlavní autori:	Wang, Xiumei, Chen, Xinghong, Wang, Qinga, Chen, Guannan
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 10.06.2022
Predmet:	Classification algorithms machine learning Measurement Parkinson's disease Prediction algorithms Predictive models Software algorithms speech disorder Support vector machines XGBoost
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