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Prediction Of Major Adverse Cardiac Events In The Emergency Department Using An Artificial Neural Network With A Systematic Grid Search, Ahmed Raheem Buksh, Nadeem Ullah Khan, Rida Jawed, Shahan Waheed, Musa Karim
Prediction Of Major Adverse Cardiac Events In The Emergency Department Using An Artificial Neural Network With A Systematic Grid Search, Ahmed Raheem Buksh, Nadeem Ullah Khan, Rida Jawed, Shahan Waheed, Musa Karim
Department of Emergency Medicine
Background: The aim of our research was to design and evaluate an Artificial Neural Network (ANN) model using a systemic grid search for the early prediction of major adverse cardiac events (MACE) among patients presenting to the triage of an emergency department.
Methods: This is a single-center, cross-sectional study using electronic health records from January 2017 to December 2020. The research population consists of adults coming to our emergency department triage at Aga Khan University Hospital. The MACE during hospitalization was the main outcome. To enhance the architecture of an ANN using triage data, we used a systematic grid search …