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Pre-existing and machine learning-based models for cardiovascular risk prediction.
Cho, Sang-Yeong; Kim, Sun-Hwa; Kang, Si-Hyuck; Lee, Kyong Joon; Choi, Dongjun; Kang, Seungjin; Park, Sang Jun; Kim, Tackeun; Yoon, Chang-Hwan; Youn, Tae-Jin; Chae, In-Ho.
Afiliación
  • Cho SY; Department of Cardiology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Korea.
  • Kim SH; Cardiovascular Center, Internal Medicine, Seoul National University Bundang Hospital, 82, Gumi-Ro 173 Beon-Gil, Bundang-Gu, Seongnam-si, 13620, Gyeonggi-Do, Korea.
  • Kang SH; Cardiovascular Center, Internal Medicine, Seoul National University Bundang Hospital, 82, Gumi-Ro 173 Beon-Gil, Bundang-Gu, Seongnam-si, 13620, Gyeonggi-Do, Korea. eandp303@snu.ac.kr.
  • Lee KJ; Department of Internal Medicine, Seoul National University, Seoul, Korea. eandp303@snu.ac.kr.
  • Choi D; Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam-si, Korea.
  • Kang S; Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam-si, Korea.
  • Park SJ; Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam-si, Korea.
  • Kim T; Department of Ophthalmology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam-si, Korea.
  • Yoon CH; Department of Neurosurgery, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam-si, Korea.
  • Youn TJ; Cardiovascular Center, Internal Medicine, Seoul National University Bundang Hospital, 82, Gumi-Ro 173 Beon-Gil, Bundang-Gu, Seongnam-si, 13620, Gyeonggi-Do, Korea.
  • Chae IH; Department of Internal Medicine, Seoul National University, Seoul, Korea.
Sci Rep ; 11(1): 8886, 2021 04 26.
Article en En | MEDLINE | ID: mdl-33903629
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Aprendizaje Automático / Modelos Cardiovasculares Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Aprendizaje Automático / Modelos Cardiovasculares Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article