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

Zhang, He-Hua; Yang, Liuyang; Liu, Yuchuan; Wang, Pin; Yin, Jun; Li, Yongming; Qiu, Mingguo; Zhu, Xueru; Yan, Fang

Zhang, He-Hua; Yang, Liuyang; Liu, Yuchuan; Wang, Pin; Yin, Jun; Li, Yongming; Qiu, Mingguo; Zhu, Xueru; Yan, Fang.

Afiliação

Zhang HH; Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
Yang L; College of Communication Engineering, Chongqing University, Chongqing, 400044, China.
Liu Y; College of Communication Engineering, Chongqing University, Chongqing, 400044, China.
Wang P; College of Communication Engineering, Chongqing University, Chongqing, 400044, China.
Yin J; Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
Li Y; College of Communication Engineering, Chongqing University, Chongqing, 400044, China. yongmingli@cqu.edu.cn.
Qiu M; Department of Medical Image, College of Biomedical Engineering, Third Military Medical University, Chongqing, 400038, China. yongmingli@cqu.edu.cn.
Zhu X; Department of Medical Image, College of Biomedical Engineering, Third Military Medical University, Chongqing, 400038, China.
Yan F; College of Communication Engineering, Chongqing University, Chongqing, 400044, China.

Biomed Eng Online ; 15(1): 122, 2016 Nov 16.

Article em En | MEDLINE | ID: mdl-27852279

Assuntos

Redes Neurais de Computação; Doença de Parkinson/classificação; Fala; Humanos

Palavras-chave

Classification of Parkinson disease; Decorrelated neural network ensembles (DNNE); Ensemble learning; Multi-edit-nearest-neighbor algorithm (MENN); Optimal selection of speech samples; Random forest (RF)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Parkinson / Fala / Redes Neurais de Computação Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Biomed Eng Online Assunto da revista: ENGENHARIA BIOMEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: China

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