Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain

, , Yuan Kao, , Ya-Wei Kuo, , , , , & Chien-Cheng Huang
Abstract Background A big-data-driven and artificial intelligence (AI) with machine learning (ML) approach has never been integrated with the hospital information system (HIS) for predicting major adverse cardiac events (MACE) in patients with chest pain in the emergency department (ED). Therefore, we conducted the present study to clarify it. Methods In total, 85,254 ED patients with chest pain in three hospitals between 2009 and 2018 were identified. We randomized the patients into a 70%/30% split...
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