Developing a time-adaptive prediction model for out-of-hospital cardiac arrest: Results from a nationwide cohort study in Korea (Preprint)-Reference-Cited by-同舟云学术

Developing a time-adaptive prediction model for out-of-hospital cardiac arrest: Results from a nationwide cohort study in Korea (Preprint)

Published:2021-03-02 Issue: Volume: Page:
ISSN:1438-8871
Container-title:Journal of Medical Internet Research
language:en
Short-container-title:

Author:

Kim Ji Woong^ORCID,Ha Juhyung^ORCID,Kim Taerim^ORCID,Yoon Hee^ORCID,Hwang Sung Yeon^ORCID,Jo Ik Joon^ORCID,Shin Tae Gun^ORCID,Sim Min Seob^ORCID,Kim Kyunga^ORCID,Cha Won Chul^ORCID

Publisher

JMIR Publications Inc.

Subject

Health Informatics

Reference16 articles.

1. Out-of-Hospital Cardiac Arrest Resuscitation Systems of Care: A Scientific Statement From the American Heart Association

2. The global survival rate among adult out-of-hospital cardiac arrest patients who received cardiopulmonary resuscitation: a systematic review and meta-analysis

3. Identifying out-of-hospital cardiac arrest patients with no chance of survival: An independent validation of prediction rules

4. Early predictors of poor outcome after out-of-hospital cardiac arrest

5. Clinical Predictive Models of Sudden Cardiac Arrest: A Survey of the Current Science and Analysis of Model Performances

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1. Artificial intelligence to support out-of-hospital cardiac arrest care: A scoping review;Resuscitation Plus;2023-12

2. 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;2023-11-21

3. 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;2023-07-11

4. Out-of-hospital cardiac arrest: predict and then protect!;eBioMedicine;2023-04