This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1328) Decision Support for Health Professionals (1137) Artificial Intelligence (1198) Machine Learning (1385) Cardiology (130)

Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28361, first published .
Developing a Time-Adaptive Prediction Model for Out-of-Hospital Cardiac Arrest: Nationwide Cohort Study in Korea

Developing a Time-Adaptive Prediction Model for Out-of-Hospital Cardiac Arrest: Nationwide Cohort Study in Korea

Developing a Time-Adaptive Prediction Model for Out-of-Hospital Cardiac Arrest: Nationwide Cohort Study in Korea

Authors of this article:

Ji Woong Kim1 Author Orcid Image ;   Juhyung Ha2 Author Orcid Image ;   Taerim Kim3 Author Orcid Image ;   Hee Yoon3 Author Orcid Image ;   Sung Yeon Hwang3 Author Orcid Image ;   Ik Joon Jo3 Author Orcid Image ;   Tae Gun Shin3 Author Orcid Image ;   Min Seob Sim3 Author Orcid Image ;   Kyunga Kim1, 4 Author Orcid Image ;   Won Chul Cha1, 3, 5 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Spadafora L, Biondi-Zoccai G, Bernardi M. Out-of-hospital cardiac arrest: predict and then protect!. eBioMedicine 2023;90:104517 View
  2. Yoo K, Cho Y, Oh J, Lee J, Ko B, Kang H, Lim T, Lee S. Association of Socioeconomic Status With Long-Term Outcome in Survivors After Out-of-Hospital Cardiac Arrest: Nationwide Population-Based Longitudinal Study. JMIR Public Health and Surveillance 2023;9:e47156 View
  3. Toy J, Bosson N, Schlesinger S, Gausche-Hill M, Stratton S. Artificial intelligence to support out-of-hospital cardiac arrest care: A scoping review. Resuscitation Plus 2023;16:100491 View
  4. Chang H, Kim J, Jung W, Heo S, Lee S, Kim T, Hwang S, Do Shin S, Cha W, Ong M. Machine learning pre-hospital real-time cardiac arrest outcome prediction (PReCAP) using time-adaptive cohort model based on the Pan-Asian Resuscitation Outcome Study. Scientific Reports 2023;13(1) View