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Cardiac Arrest Algorithm - Europe PMC

Summarized by Plex Scholar
Last Updated: 11 January 2023

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Development of a machine-learning algorithm to predict in-hospital cardiac arrest for emergency department patients using a nationwide database.

In this retrospective observational research, we set out to create a machine-learning system based on information obtained at the hospital level to predict in-hospital cardiac arrest in the emergency department of patients transferred by emergency medical services. The database was assembled by linking hospital and hospital related prehospital records from the National Fire Agency and hospital factors to National Emergency Department Information System data. Both ED occupancy and in-hospital cardiac arrest occurrence were positively connected, with positive correlations, and the effect of ED occupancy in small hospitals was clearly higher.

Source link: https://europepmc.org/article/MED/36526686

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions