A probabilistic neural network as the predictive classifier of out-of-hospital defibrillation outcomes-Reference-Cited by-同舟云学术

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A probabilistic neural network as the predictive classifier of out-of-hospital defibrillation outcomes

Published:2005-01 Issue:1 Volume:64 Page:31-36
ISSN:0300-9572
Container-title:Resuscitation
language:en
Short-container-title:Resuscitation

Author:

Yang Zhijun,Yang Zhengrong,Lu Weiping,Harrison Robert G.,Eftestøl Trygve,Steen Petter A.

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Emergency Nursing,Emergency Medicine

Reference24 articles.

1. Dunbar SB, Ellenbogen K, Epstein K, editors. Sudden cardiac death: past, present and future. Am Heart Assoc Monograph; 1997, Chapter 1.

2. Cardiac arrest and sudden cardiac death;Myerburg,1997

3. The 1998 European resuscitation council guidelines for adult advanced life support;Robertson;Resuscitation,1998

4. Influence of cardiopulmonary resuscitation prior to defibrillation in patients with out-of-hospital ventricular fibrillation;Cobb;J. Am. Med. Assoc.,1999

5. Delaying defibrillation to give basic cardiopulmonary resuscitation to patients with out-of-hospital ventricular fibrillation: a randomized trial;Wik;J. Am. Med. Assoc.,2003

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1. An acoustic method (Spectral Flux) to analyze ECG signals for optimizing timing for defibrillation in a porcine model of ventricular fibrillation;Resuscitation Plus;2024-03

2. Artificial intelligence and machine learning in prehospital emergency care: A scoping review;iScience;2023-08

3. Artificial Intelligence and Machine Learning in Prehospital Emergency Care: A Systematic Scoping Review;2023-04-26

4. The ability of machine learning algorithms to predict defibrillation success during cardiac arrest: A systematic review;Resuscitation;2023-04

5. Artificial Intelligence in Resuscitation: A Scoping Review;Journal of Clinical Medicine;2023-03-14

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