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Open access Oct 2026

Development and multicenter validation of a machine learning model for predicting in-hospital postoperative cardiac arrest in elderly surgical patients: the critical role of intraoperative hemodynamic disturbances and blood transfusion

Background In-hospital cardiac arrest (IHCA) is a rare but life-threatening complication in elderly surgical patients. This study aimed to develop and validate a machine learning model for predicting IHCA and to identify key perioperative risk factors. Methods A multicenter retrospective cohort study was conducted amon...

Xi Chen, Yu-Wei Chang, Tao Sun et al. · 0 citations

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