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Development of Prediction Models for Acute Myocardial Infarction at Prehospital Stage with Machine Learning Based on a Nationwide Database.
Choi, Arom; Kim, Min Joung; Sung, Ji Min; Kim, Sunhee; Lee, Jayoung; Hyun, Heejung; Kim, Hyeon Chang; Kim, Ji Hoon; Chang, Hyuk-Jae.
Affiliation
  • Choi A; Department of Emergency Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
  • Kim MJ; Department of Emergency Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
  • Sung JM; Department of Cardiology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
  • Kim S; CONNECT-AI Research Center, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
  • Lee J; AITRICS, Seoul 06627, Republic of Korea.
  • Hyun H; AITRICS, Seoul 06627, Republic of Korea.
  • Kim HC; Department of Preventive Medicine and Public Health, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
  • Kim JH; Department of Emergency Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
  • Chang HJ; Department of Cardiology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
J Cardiovasc Dev Dis ; 9(12)2022 Dec 02.
Article in En | MEDLINE | ID: mdl-36547427
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Cardiovasc Dev Dis Year: 2022 Document type: Article
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Cardiovasc Dev Dis Year: 2022 Document type: Article