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Radiomics-based machine learning models in STEMI: a promising tool for the prediction of major adverse cardiac events.
Durmaz, Emine Sebnem; Karabacak, Mert; Ozkara, Burak Berksu; Kargin, Osman Aykan; Raimoglu, Utku; Tokdil, Hasan; Durmaz, Eser; Adaletli, Ibrahim.
Afiliação
  • Durmaz ES; Radiology Department, Cerrahpasa School of Medicine, Istanbul University - Cerrahpasa, Zip C, Fatih/Istanbul, Turkey. sebnem_memis@hotmail.com.
  • Karabacak M; Cerrahpasa School of Medicine, Istanbul University - Cerrahpasa, Istanbul, Turkey.
  • Ozkara BB; Cerrahpasa School of Medicine, Istanbul University - Cerrahpasa, Istanbul, Turkey.
  • Kargin OA; Radiology Department, Cerrahpasa School of Medicine, Istanbul University - Cerrahpasa, Zip C, Fatih/Istanbul, Turkey.
  • Raimoglu U; Cardiology Department, Cerrahpasa School of Medicine, Istanbul University - Cerrahpasa, Istanbul, Turkey.
  • Tokdil H; Cardiology Department, Cerrahpasa School of Medicine, Istanbul University - Cerrahpasa, Istanbul, Turkey.
  • Durmaz E; Cardiology Department, Cerrahpasa School of Medicine, Istanbul University - Cerrahpasa, Istanbul, Turkey.
  • Adaletli I; Radiology Department, Cerrahpasa School of Medicine, Istanbul University - Cerrahpasa, Zip C, Fatih/Istanbul, Turkey.
Eur Radiol ; 33(7): 4611-4620, 2023 Jul.
Article em En | MEDLINE | ID: mdl-36633675
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infarto do Miocárdio com Supradesnível do Segmento ST Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infarto do Miocárdio com Supradesnível do Segmento ST Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article