Bi-level artificial intelligence model for risk classification of acute respiratory diseases based on Chinese clinical data.

Leng, Jiewu; Wang, Dewen; Ma, Xin; Yu, Pengjiu; Wei, Li; Chen, Wenge

Leng, Jiewu; Wang, Dewen; Ma, Xin; Yu, Pengjiu; Wei, Li; Chen, Wenge.

Afiliación

Leng J; State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou, 510006 Guangdong China.
Wang D; Department of Information Systems, Chengdu Research Institute, City University of Hong Kong, Hong Kong, China.
Ma X; State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou, 510006 Guangdong China.
Yu P; State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou, 510006 Guangdong China.
Wei L; Department of Pharmacy, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120 China.
Chen W; Department of Pharmacy, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120 China.

Appl Intell (Dordr) ; 52(11): 13114-13131, 2022.

Article en En | MEDLINE | ID: mdl-35221528

Palabras clave

Acute respiratory diseases; Artificial intelligence; Chinese clinical named entity recognition; Deep learning; Risk classification

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Etiology_studies / Risk_factors_studies Idioma: En Revista: Appl Intell (Dordr) Año: 2022 Tipo del documento: Article

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