Prediction of Pulmonary Function Parameters Based on a Combination Algorithm.

Zhou, Ruishi; Wang, Peng; Li, Yueqi; Mou, Xiuying; Zhao, Zhan; Chen, Xianxiang; Du, Lidong; Yang, Ting; Zhan, Qingyuan; Fang, Zhen

Zhou, Ruishi; Wang, Peng; Li, Yueqi; Mou, Xiuying; Zhao, Zhan; Chen, Xianxiang; Du, Lidong; Yang, Ting; Zhan, Qingyuan; Fang, Zhen.

Afiliação

Zhou R; Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100190, China.
Wang P; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100190, China.
Li Y; Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100190, China.
Mou X; Personalized Management of Chronic Respiratory Disease, Chinese Academy of Medical Sciences, Beijing 100190, China.
Zhao Z; Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100190, China.
Chen X; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100190, China.
Du L; Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100190, China.
Yang T; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100190, China.
Zhan Q; Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100190, China.
Fang Z; Personalized Management of Chronic Respiratory Disease, Chinese Academy of Medical Sciences, Beijing 100190, China.

Bioengineering (Basel) ; 9(4)2022 Mar 25.

Article em En | MEDLINE | ID: mdl-35447696

Palavras-chave

combination algorithm; extreme gradient boosting; improved K-nearest neighbor; one-dimensional convolutional neural network; support vector machines

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioengineering (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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