Deep learning-based prognosis of major adverse cardiac events in patients with acute myocardial infarction: a retrospective observational study in the Republic of Korea.

Journal: Osong public health and research perspectives
Published Date:

Abstract

OBJECTIVES: This study developed deep neural network (DNN) models capable of accurately classifying major adverse cardiac events (MACE) in patients with acute myocardial infarction (AMI) after hospital discharge, across 3 follow-up intervals: 1, 6, and 12 months.

Authors

  • Vungsovanreach Kong
    Department of Big Data, Chungbuk National University, Cheongju, Republic of Korea.
  • Kyung Ah Kim
    Biomedical Research Institute, Chungbuk National University Hospital, Cheongju, Republic of Korea.
  • Ho Sun Shon
    Medical Research Institute, School of Medicine, Chungbuk National University, Cheongju, Republic of Korea.

Keywords

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