LGTRL-DE: Local and Global Temporal Representation Learning with Demographic Embedding for in-hospital mortality prediction.

Zou, Mengjie; An, Ying; Kuang, Hulin; Wang, Jianxin

Zou, Mengjie; An, Ying; Kuang, Hulin; Wang, Jianxin.

Afiliación

Zou M; Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, 410083, PR China. Electronic address: mengjyzou@csu.edu.cn.
An Y; The Institute of Big Data, Central South University, Changsha, 410083, PR China. Electronic address: anying@csu.edu.cn.
Kuang H; Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, 410083, PR China. Electronic address: hulinkuang@csu.edu.cn.
Wang J; Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, 410083, PR China. Electronic address: jxwang@mail.csu.edu.cn.

J Biomed Inform ; 143: 104408, 2023 07.

Article en En | MEDLINE | ID: mdl-37295630

Asunto(s)

Redes Neurales de la Computación; Humanos; Mortalidad Hospitalaria

Palabras clave

Deep learning; Demographic embedding; Electronic medical records; In-hospital mortality prediction; Local and global temporal representation

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article

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