PARSE: A personalized clinical time-series representation learning framework via abnormal offsets analysis.

An, Ying; Cai, Guanglei; Chen, Xianlai; Guo, Lin

An, Ying; Cai, Guanglei; Chen, Xianlai; Guo, Lin.

Afiliación

An Y; Big Data Institute, Central South University, Changsha, 410083, P.R. China. Electronic address: anying@csu.edu.cn.
Cai G; Big Data Institute, Central South University, Changsha, 410083, P.R. China; School of Computer Science and Engineering, Central South University, Changsha, 410083, P.R. China. Electronic address: caiguanglei@csu.edu.cn.
Chen X; Big Data Institute, Central South University, Changsha, 410083, P.R. China. Electronic address: chenxianlai@csu.edu.cn.
Guo L; Big Data Institute, Central South University, Changsha, 410083, P.R. China. Electronic address: guolincsu@csu.edu.cn.

Comput Methods Programs Biomed ; 242: 107838, 2023 Dec.

Article en En | MEDLINE | ID: mdl-37832431

Asunto(s)

Registros Electrónicos de Salud; Humanos; Factores de Tiempo

Palabras clave

Clinical risk prediction; Deep learning; Electronic health records; Representation learning; Time-series data

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Registros Electrónicos de Salud Límite: Humans Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article Pais de publicación: Irlanda

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