Classification of Parkinson’s disease utilizing multi-edit nearest-neighbor and ensemble learning algorithms with speech samples

BACKGROUND: The use of speech based data in the classification of Parkinson disease (PD) has been shown to provide an effect, non-invasive mode of classification in recent years. Thus, there has been an increased interest in speech pattern analysis methods applicable to Parkinsonism for building pre...

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Detalles Bibliográficos
Autores principales: Zhang, He-Hua, Yang, Liuyang, Liu, Yuchuan, Wang, Pin, Yin, Jun, Li, Yongming, Qiu, Mingguo, Zhu, Xueru, Yan, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112697/
https://www.ncbi.nlm.nih.gov/pubmed/27852279
http://dx.doi.org/10.1186/s12938-016-0242-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112697/
https://www.ncbi.nlm.nih.gov/pubmed/27852279
http://dx.doi.org/10.1186/s12938-016-0242-6

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