Identification of crucial genes related to heart failure based on GEO database.

Chen, Yongliang; Xue, Jing; Yan, Xiaoli; Fang, Da-Guang; Li, Fangliang; Tian, Xuefei; Yan, Peng; Feng, Zengbin

Chen, Yongliang; Xue, Jing; Yan, Xiaoli; Fang, Da-Guang; Li, Fangliang; Tian, Xuefei; Yan, Peng; Feng, Zengbin.

Afiliação

Chen Y; Department of Cardiac Surgery, Affiliated Hospital of Chengde Medical University, 36 Nanyingzi Street, Chengde, Hebei, 067000, China.
Xue J; Experimental Center of Morphology, College of Basic Medicine, Chengde Medical University, Chengde, Hebei, China.
Yan X; Experimental Center of Morphology, College of Basic Medicine, Chengde Medical University, Chengde, Hebei, China.
Fang DG; Department of Cardiac Surgery, Affiliated Hospital of Chengde Medical University, 36 Nanyingzi Street, Chengde, Hebei, 067000, China.
Li F; Experimental Center of Morphology, College of Basic Medicine, Chengde Medical University, Chengde, Hebei, China.
Tian X; Department of Cardiac Surgery, Affiliated Hospital of Chengde Medical University, 36 Nanyingzi Street, Chengde, Hebei, 067000, China.
Yan P; Experimental Center of Morphology, College of Basic Medicine, Chengde Medical University, Chengde, Hebei, China.
Feng Z; Department of Cardiac Surgery, Affiliated Hospital of Chengde Medical University, 36 Nanyingzi Street, Chengde, Hebei, 067000, China. Fengzengbin1@163.com.

BMC Cardiovasc Disord ; 23(1): 376, 2023 07 28.

Article em En | MEDLINE | ID: mdl-37507655

Assuntos

Inteligência Artificial; Insuficiência Cardíaca; Humanos; Fosfatidilinositol 3-Quinases; Reprodutibilidade dos Testes; Insuficiência Cardíaca/diagnóstico; Insuficiência Cardíaca/genética; Área Sob a Curva

Palavras-chave

Artificial neural network; Diagnosis; Heart failure; Random Forest; Support Vector Machine

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Insuficiência Cardíaca Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: BMC Cardiovasc Disord Assunto da revista: ANGIOLOGIA / CARDIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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