Open AccessPrediction of Neurological Outcomes in Out-of-hospital Cardiac Arrest Survivors Immediately after Return of Spontaneous Circulation: Ensemble Technique with Four Machine Learning Models
Author(s) -
Ji Han Heo,
Taegyun Kim,
Jongmin Shin,
Gil Joon Suh,
Joonghee Kim,
Young-Seok Jung,
Seung Min Park,
SungWan Kim,
For Snu Care investigators
Publication year - 2021
Publication title -
journal of korean medical science/journal of korean medical science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.743
H-Index - 66
eISSN - 1598-6357
pISSN - 1011-8934
DOI - 10.3346/jkms.2021.36.e187
Subject(s) - return of spontaneous circulation , random forest , receiver operating characteristic , logistic regression , support vector machine , ensemble forecasting , predictive modelling , medicine , machine learning , cross validation , ensemble learning , artificial intelligence , computer science , emergency medicine , cardiopulmonary resuscitation , resuscitation