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Deep-learning model for screening sepsis using electrocardiography.
Kwon, Joon-Myoung; Lee, Ye Rang; Jung, Min-Seung; Lee, Yoon-Ji; Jo, Yong-Yeon; Kang, Da-Young; Lee, Soo Youn; Cho, Yong-Hyeon; Shin, Jae-Hyun; Ban, Jang-Hyeon; Kim, Kyung-Hee.
Afiliación
  • Kwon JM; Artificial Intelligence and Big Data Research Center, Sejong Medical Research Institute, Bucheon, Republic of Korea. kwonjm@sejongh.co.kr.
  • Lee YR; Medical Research Team, Medical AI, Co., Seoul, Republic of Korea. kwonjm@sejongh.co.kr.
  • Jung MS; Department of Critical Care and Emergency Medicine, Mediplex Sejong Hospital, 20, Gyeyangmunhwa-ro, Gyeyang-gu, Incheon, Republic of Korea. kwonjm@sejongh.co.kr.
  • Lee YJ; Medical R&D Center, Body Friend, Co., Seoul, Republic of Korea. kwonjm@sejongh.co.kr.
  • Jo YY; Medical Research Team, Medical AI, Co., Seoul, Republic of Korea.
  • Kang DY; Artificial Intelligence and Big Data Research Center, Sejong Medical Research Institute, Bucheon, Republic of Korea.
  • Lee SY; Artificial Intelligence and Big Data Research Center, Sejong Medical Research Institute, Bucheon, Republic of Korea.
  • Cho YH; Artificial Intelligence and Big Data Research Center, Sejong Medical Research Institute, Bucheon, Republic of Korea.
  • Shin JH; Medical Research Team, Medical AI, Co., Seoul, Republic of Korea.
  • Ban JH; Medical Research Team, Medical AI, Co., Seoul, Republic of Korea.
  • Kim KH; Division of Cardiology Cardiovascular Center, Mediplex Sejong Hospital, Incheon, Republic of Korea.
Scand J Trauma Resusc Emerg Med ; 29(1): 145, 2021 Oct 03.
Article en En | MEDLINE | ID: mdl-34602084
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sepsis / Aprendizaje Profundo / COVID-19 Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Scand J Trauma Resusc Emerg Med Asunto de la revista: MEDICINA DE EMERGENCIA / TRAUMATOLOGIA Año: 2021 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sepsis / Aprendizaje Profundo / COVID-19 Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Scand J Trauma Resusc Emerg Med Asunto de la revista: MEDICINA DE EMERGENCIA / TRAUMATOLOGIA Año: 2021 Tipo del documento: Article Pais de publicación: Reino Unido