文章基本信息

标题：A Survey of Machine Learning Based Approaches for Parkinson Disease Prediction
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作者：Shubham Bind ; Arvind Kumar Tiwari ; Anil Kumar Sahani 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：2
页码：1648-1655
出版社：TechScience Publications
摘要：Parkinson disease (PD) is a universal public health problem of massive measurement. Machine learning based method is used to classify between healthy people and people with Parkinson’s disease (PD). This paper presents a comprehensive review for the prediction of Parkinson disease buy using machine learning based approaches. The brief introduction of various computational intelligence techniques based approaches used for the prediction of Parkinson diseases are presented .This paper also presents the summary of results obtained by various researchers available in literature to predict the Parkinson diseases
关键词：Parkinson’s disease; classification; random;forest; support vector machine; machine learning; signal;processing; artificial neural network