Disease phenotype synonymous prediction through network representation learning from PubMed database.

Ma, Shiwen; Yang, Kuo; Wang, Ning; Zhu, Qiang; Gao, Zhuye; Zhang, Runshun; Liu, Baoyan; Zhou, Xuezhong

Ma, Shiwen; Yang, Kuo; Wang, Ning; Zhu, Qiang; Gao, Zhuye; Zhang, Runshun; Liu, Baoyan; Zhou, Xuezhong.

Afiliação

Ma S; School of Computer and Information Technology and Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing 100044, China.
Yang K; School of Computer and Information Technology and Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing 100044, China.
Wang N; School of Computer and Information Technology and Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing 100044, China.
Zhu Q; School of Computer and Information Technology and Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing 100044, China.
Gao Z; China Heart Institute of Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100091, China.
Zhang R; Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
Liu B; China Academy of Chinese Medical Sciences, Beijing 100700, China.
Zhou X; School of Computer and Information Technology and Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing 100044, China. Electronic address: xzzhou@bjtu.edu.cn.

Artif Intell Med ; 102: 101745, 2020 01.

Article em En | MEDLINE | ID: mdl-31980087

Assuntos

Doença; Redes Neurais de Computação; Fenótipo; PubMed; Algoritmos; Automação; Simulação por Computador; Doença/classificação; Humanos; Aprendizado de Máquina; Reprodutibilidade dos Testes

Palavras-chave

Classification; Network representation; Phenotype terminology; Synonyms relation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenótipo / Doença / Redes Neurais de Computação / PubMed Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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