Early outcome prediction for out-of-hospital cardiac arrest with initial shockable rhythm using machine learning models

Out-of-hospital cardiac arrest across the World: First report from the International Liaison Committee on Resuscitation (ILCOR)

(2020) Tekeyuki Kiguchi et al.   RESUSCITATION

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

(2019) Evangelia Christodoulou et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Deep-learning-based out-of-hospital cardiac arrest prognostic system to predict clinical outcomes

(2019) Joon-myoung Kwon et al.   RESUSCITATION

Prognostic impact of the conversion to a shockable rhythm from a non-shockable rhythm for patients suffering from out-of-hospital cardiac arrest

(2019) Alexis Cournoyer et al.   RESUSCITATION

Machine Learning to Predict the Likelihood of Acute Myocardial Infarction

(2019) Martin P. Than et al.   CIRCULATION

Outcome prediction of out-of-hospital cardiac arrest with presumed cardiac aetiology using an advanced machine learning technique

(2019) Tomohisa Seki et al.   RESUSCITATION

The cardiac arrest survival score: A predictive algorithm for in-hospital mortality after out-of-hospital cardiac arrest

(2019) Prakash Balan et al.   RESUSCITATION

2019 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations

(2019) Jasmeet Soar et al.   RESUSCITATION

Out-of-hospital cardiac arrest: current concepts

(2018) Aung Myat et al.   LANCET

A Randomized Trial of Epinephrine in Out-of-Hospital Cardiac Arrest

(2018) Gavin D. Perkins et al.   NEW ENGLAND JOURNAL OF MEDICINE

Is initial rhythm in OHCA a predictor of preceding no flow time? Implications for bystander response and ECPR candidacy evaluation

(2018) Xavier Tanguay-Rioux et al.   RESUSCITATION

Association of initial recorded rhythm and underlying cardiac disease in sudden cardiac arrest

(2018) Janna P. Kauppila et al.   RESUSCITATION

2018 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations Summary

(2018) Jasmeet Soar et al.   CIRCULATION

Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations

(2017) Jonathan H. Chen et al.   NEW ENGLAND JOURNAL OF MEDICINE

Cardiopulmonary resuscitation duration and survival in out-of-hospital cardiac arrest patients

(2017) Frederic Adnet et al.   RESUSCITATION

Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards

(2016) Matthew M. Churpek et al.   CRITICAL CARE MEDICINE

EuReCa ONE⿿27 Nations, ONE Europe, ONE Registry

(2016) Jan-Thorsten Gräsner et al.   RESUSCITATION

Predictors of neurological outcomes after successful extracorporeal cardiopulmonary resuscitation

(2015) Jeong-Am Ryu et al.   BMC Anesthesiology

Blood glucose level and outcome after cardiac arrest: insights from a large registry in the hypothermia era

(2014) Fabrice Daviaud et al.   INTENSIVE CARE MEDICINE

Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics

(2012) Y Kanda   BONE MARROW TRANSPLANTATION

Nationwide Public-Access Defibrillation in Japan

(2010) Tetsuhisa Kitamura et al.   NEW ENGLAND JOURNAL OF MEDICINE