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Artificial Intelligence-Enabled ECG Algorithm for the Prediction of Coronary Artery Calcification.
Han, Changho; Kang, Ki-Woon; Kim, Tae Young; Uhm, Jae-Sun; Park, Je-Wook; Jung, In Hyun; Kim, Minkwan; Bae, SungA; Lim, Hong-Seok; Yoon, Dukyong.
Afiliação
  • Han C; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Yongin, South Korea.
  • Kang KW; Division of Cardiology, College of Medicine, Heart Research Institute, Chung-Ang University Hospital, Chung-Ang University, Seoul, South Korea.
  • Kim TY; BUD.on Inc., Seoul, South Korea.
  • Uhm JS; Division of Cardiology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, South Korea.
  • Park JW; Division of Cardiology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, South Korea.
  • Jung IH; Division of Cardiology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, South Korea.
  • Kim M; Division of Cardiology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, South Korea.
  • Bae S; Division of Cardiology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, South Korea.
  • Lim HS; Department of Cardiology, Ajou University School of Medicine, Suwon, South Korea.
  • Yoon D; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Yongin, South Korea.
Front Cardiovasc Med ; 9: 849223, 2022.
Article em En | MEDLINE | ID: mdl-35463761
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Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Cardiovasc Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Coréia do Sul
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Cardiovasc Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Coréia do Sul