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Prediction of ROSC After Cardiac Arrest Using Machine Learning
Cited 3 time in
Web of Science
Cited 3 time in Scopus
- Authors
- Issue Date
- 2020-04
- Publisher
- IOS PRESS
- Citation
- DIGITAL PERSONALIZED HEALTH AND MEDICINE, Vol.270, pp.1357-1358
- Abstract
- Out-of-hospital cardiac arrest (OHCA) is an important public health problem, with very low survival rate. In treating OHCA patients, the return of spontaneous circulation (ROSC) represents the success of early resuscitation efforts. In this study, we developed a machine learning model to predict ROSC and compared it with the ROSC after cardiac arrest (RACA) score. Results demonstrated the usefulness of machine learning in deriving predictive models.
- ISSN
- 0926-9630
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