Prediction of good neurological recovery after out-of-hospital cardiac arrest: A machine learning analysis.

Journal: Resuscitation
PMID: 31362082

Abstract

BACKGROUND: This study aimed to train, validate and compare predictive models that use machine learning analysis for good neurological recovery in OHCA patients.

Authors

  • Jeong Ho Park
    Department of Biomedical Engineering, Seoul National University College of Medicine; Department of Emergency Medicine, Seoul National University College of Medicine. Electronic address: timthe@gmail.com.
  • Sang Do Shin
    Department of Emergency Medicine, Seoul National University College of Medicine. Electronic address: shinsangdo@gmail.com.
  • Kyoung Jun Song
    Department of Emergency Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Ki Jeong Hong
    Department of Emergency Medicine, Seoul National University College of Medicine. Electronic address: emkjhong@gmail.com.
  • Young Sun Ro
    Laboratory of Emergency Medical Services, Seoul National University Hospital Biomedical Research Institute. Electronic address: Ro.youngsun@gmail.com.
  • Jin-Wook Choi
    Department of Biomedical Engineering, Seoul National University College of Medicine. Electronic address: jinchoi@snu.ac.kr.
  • Sae Won Choi
    Department of Emergency Medicine, Seoul National University College of Medicine; Office of Hospital Information, Seoul National University Hospital. Electronic address: saewonchoi@gmail.com.

Keywords

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