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CoAt-Mixer: Self-attention deep learning framework for left ventricular hypertrophy using electrocardiography.
Ryu, Ji Seung; Lee, Solam; Chu, Yuseong; Ahn, Min-Soo; Park, Young Jun; Yang, Sejung.
Affiliation
  • Ryu JS; Department of Precision Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.
  • Lee S; Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.
  • Chu Y; Department of Dermatology, Yonsei University Wonju College of Medicine, Wonju, Korea.
  • Ahn MS; Department of Biomedical Engineering, Yonsei University, Wonju, Korea.
  • Park YJ; Division of Cardiology, Department of Internal Medicine, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Korea.
  • Yang S; Division of Cardiology, Department of Internal Medicine, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Korea.
PLoS One ; 18(6): e0286916, 2023.
Article in En | MEDLINE | ID: mdl-37289800
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Hypertrophy, Left Ventricular / Deep Learning Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Document type: Article Country of publication: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Hypertrophy, Left Ventricular / Deep Learning Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Document type: Article Country of publication: United States