Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning.

Zhou, Dejia; Qiu, Hang; Wang, Liya; Shen, Minghui

Zhou, Dejia; Qiu, Hang; Wang, Liya; Shen, Minghui.

Afiliação

Zhou D; School of Computer Science and Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan, 611731, P.R. China.
Qiu H; School of Computer Science and Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan, 611731, P.R. China. qiuhang@uestc.edu.cn.
Wang L; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China. qiuhang@uestc.edu.cn.
Shen M; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China.

BMC Med Inform Decis Mak ; 23(1): 99, 2023 05 23.

Article em En | MEDLINE | ID: mdl-37221512

Assuntos

Insuficiência Cardíaca; Isquemia Miocárdica; Humanos; China; Efeitos Psicossociais da Doença; Aprendizado de Máquina

Palavras-chave

Administrative data; Comorbidity network; Ensemble learning; Heart failure; Ischemic heart disease; Network feature

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Isquemia Miocárdica / Insuficiência Cardíaca Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article

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