https://www.selleckchem.com/pr....oducts/alexidine-dih
OBJECTIVES As the performance of a conventional track and trigger system in a rapid response system has been unsatisfactory, we developed and implemented an artificial intelligence for predicting in-hospital cardiac arrest, denoted the deep learning-based early warning system. The purpose of this study was to compare the performance of an artificial intelligence-based early warning system with that of conventional methods in a real hospital situation. DESIGN Retrospective cohort study. SETTING This study was conducted
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