Using machine learning methods to predict hepatic encephalopathy in cirrhotic patients with unbalanced data.

Yang, Hong; Li, Xinxin; Cao, Hongyan; Cui, Yuehua; Luo, Yanhong; Liu, Jinchun; Zhang, Yanbo

Yang, Hong; Li, Xinxin; Cao, Hongyan; Cui, Yuehua; Luo, Yanhong; Liu, Jinchun; Zhang, Yanbo.

Afiliação

Yang H; Department of Health Statistics, Shanxi Medical University, Taiyuan, China.
Li X; Department of Health Statistics, Shanxi Medical University, Taiyuan, China.
Cao H; Department of Health Statistics, Shanxi Medical University, Taiyuan, China.
Cui Y; Department of Statistics and Probability, Michigan State University, East Lansing, USA.
Luo Y; Department of Health Statistics, Shanxi Medical University, Taiyuan, China.
Liu J; Department of Gastroenterology, the First Hospital of Shanxi Medical University, Taiyuan, China. Electronic address: zxr610624@163.com.
Zhang Y; Department of Health Statistics, Shanxi Medical University, Taiyuan, China. Electronic address: sxmuzyb@126.com.

Comput Methods Programs Biomed ; 211: 106420, 2021 Nov.

Article em En | MEDLINE | ID: mdl-34555589

Assuntos

Encefalopatia Hepática; Algoritmos; Encefalopatia Hepática/diagnóstico; Encefalopatia Hepática/etiologia; Humanos; Cirrose Hepática/complicações; Modelos Logísticos; Aprendizado de Máquina

Palavras-chave

Cost sensitivity; Disease risk prediction; Hepatic encephalopathy; Weighted random forest; Weighted support vector machine

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encefalopatia Hepática Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

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