Predicting survival and neurological outcome in out-of-hospital cardiac arrest using machine learning: the SCARS model-Reference-Cited by-同舟云学术

Predicting survival and neurological outcome in out-of-hospital cardiac arrest using machine learning: the SCARS model

Published:2023-03 Issue: Volume:89 Page:104464
ISSN:2352-3964
Container-title:eBioMedicine
language:en
Short-container-title:eBioMedicine

Author:

Hessulf Fredrik^ORCID,Bhatt Deepak L.,Engdahl Johan,Lundgren Peter,Omerovic Elmir,Rawshani Aidin,Helleryd Edvin,Dworeck Christian,Friberg Hans,Redfors Björn,Nielsen Niklas,Myredal Anna,Frigyesi Attila,Herlitz Johan,Rawshani Araz

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference25 articles.

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4. Probabilistic reasoning and clinical decision-making: do doctors overestimate diagnostic probabilities?;Cahan;QJM,2003

5. European Resuscitation Council Guidelines 2021: ethics of resuscitation and end of life decisions;Mentzelopoulos;Resuscitation,2021

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1. Age as a Mortality Predictor in ECPR Patients;Medicina;2024-09-04

2. Prediction of neurologic outcome after out-of-hospital cardiac arrest: An interpretable approach with machine learning;Resuscitation;2024-09

3. Cost-effectiveness analysis of a ‘Termination of Resuscitation’ protocol for the management of out-of-hospital cardiac arrest;Resuscitation;2024-09

4. EPOS-OHCA: Early Predictors of Outcome and Survival after non-traumatic Out-of-Hospital Cardiac Arrest;Resuscitation Plus;2024-09

5. Do differences in emergency medical services (EMS) response time to an arrest account for the survival differences between EMS-witnessed and bystander-witnessed out of hospital cardiac arrest?;Resuscitation Plus;2024-09