Machine learning-based mRNA signature in early acute myocardial infarction patients: the perspective toward immunological, predictive, and personalized.

Pan, Hai-Hua; Yuan, Na; He, Ling-Yan; Sheng, Jia-Lin; Hu, Hui-Lin; Zhai, Chang-Lin

Pan, Hai-Hua; Yuan, Na; He, Ling-Yan; Sheng, Jia-Lin; Hu, Hui-Lin; Zhai, Chang-Lin.

Afiliação

Pan HH; The First Hospital of Jiaxing Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, 314001, People's Republic of China.
Yuan N; The First Hospital of Jiaxing Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, 314001, People's Republic of China.
He LY; Jiaxing University Master Degree Cultivation Base, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310053, People's Republic of China.
Sheng JL; Jiaxing University Master Degree Cultivation Base, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310053, People's Republic of China.
Hu HL; The First Hospital of Jiaxing Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, 314001, People's Republic of China. huhuilin1979@sohu.com.
Zhai CL; The First Hospital of Jiaxing Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, 314001, People's Republic of China. yesterdaygun@126.com.

Funct Integr Genomics ; 23(2): 160, 2023 May 13.

Article em En | MEDLINE | ID: mdl-37178159

Assuntos

Infarto do Miocárdio; Humanos; Infarto do Miocárdio/diagnóstico; Infarto do Miocárdio/genética; Análise por Conglomerados; Biologia Computacional; Aprendizado de Máquina; RNA Mensageiro/genética

Palavras-chave

AMI; CAD; Immunological; Machine learning; Signature

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Infarto do Miocárdio Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Funct Integr Genomics Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2023 Tipo de documento: Article

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