Artificial neural network-boosted Cardiac Arrest Survival Post-Resuscitation In-hospital (CASPRI) score accurately predicts outcome in cardiac arrest patients treated with targeted temperature management

Artificial neural network-boosted Cardiac Arrest Survival Post-Resuscitation In-hospital (CASPRI) score accurately predicts outcome in cardiac arrest patients treated with targeted temperature management

Abstract Existing prognostic models to predict the neurological recovery in patients with cardiac arrest receiving targeted temperature management (TTM) either exhibit moderate accuracy or are too complicated for clinical application. This necessitates the development of a simple and generalizable p...

Full description

Bibliographic Details
Main Authors: Szu-Yi Chou, Oluwaseun Adebayo Bamodu, Wei-Ting Chiu, Chien-Tai Hong, Lung Chan, Chen-Chih Chung
Format: Article
Language:English
Published: Nature Portfolio 2022-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-11201-z

Internet

https://doi.org/10.1038/s41598-022-11201-z

Similar Items