Constructing High-Fidelity Phenotype Knowledge Graphs for Infectious Diseases With a Fine-Grained Semantic Information Model: Development and Usability Study.

Deng, Lizong; Chen, Luming; Yang, Tao; Liu, Mi; Li, Shicheng; Jiang, Taijiao

Deng, Lizong; Chen, Luming; Yang, Tao; Liu, Mi; Li, Shicheng; Jiang, Taijiao.

Afiliação

Deng L; Center of Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Chen L; Suzhou Institute of Systems Medicine, Suzhou, China.
Yang T; Center of Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Liu M; Suzhou Institute of Systems Medicine, Suzhou, China.
Li S; Center of Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jiang T; Suzhou Institute of Systems Medicine, Suzhou, China.

J Med Internet Res ; 23(6): e26892, 2021 06 15.

Article em En | MEDLINE | ID: mdl-34128811

Assuntos

Doenças Transmissíveis; Semântica; Inteligência Artificial; Doenças Transmissíveis/diagnóstico; Humanos; Reconhecimento Automatizado de Padrão; Fenótipo

Palavras-chave

high-fidelity phenotyping; knowledge granularity; knowledge graph; machine learning; phenotype; phenotyping; semantic

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Semântica / Doenças Transmissíveis Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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