When the machine is wrong. Characteristics of true and false predictions of Out-of-Hospital Cardiac arrests in emergency calls using a machine-learning model-Reference-Cited by-同舟云学术

When the machine is wrong. Characteristics of true and false predictions of Out-of-Hospital Cardiac arrests in emergency calls using a machine-learning model

Published:2023-02 Issue: Volume:183 Page:109689
ISSN:0300-9572
Container-title:Resuscitation
language:en
Short-container-title:Resuscitation

Author:

Nikolaj Blomberg Stig,Jensen Theo W.,Porsborg Andersen Mikkel,Folke Fredrik,Kjær Ersbøll Annette,Torp-Petersen Christian,Lippert Freddy,Collatz Christensen Helle

Funder

TrygFonden

Danish Foundation TrygFonden

Laerdal Foundation for Acute Medicine

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Emergency Nursing,Emergency Medicine

Reference33 articles.

1. Dispatcher-assisted cardiopulmonary resuscitation: time to identify cardiac arrest and deliver chest compression instructions;Lewis;Circulation,2013

2. Recognition of out-of-hospital cardiac arrest by medical dispatchers in emergency medical dispatch centres in two countries;Moller;Resuscitation,2016

3. Recognising out-of-hospital cardiac arrest during emergency calls increases bystander cardiopulmonary resuscitation and survival;Viereck;Resuscitation,2017

4. Importance of the first link: description and recognition of an out-of-hospital cardiac arrest in an emergency call;Berdowski;Circulation,2009

5. Impact of onsite or dispatched automated external defibrillator use on survival after out-of-hospital cardiac arrest;Berdowski;Circulation,2011

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimising telecommunicator recognition of out-of-hospital cardiac arrest: A scoping review;Resuscitation Plus;2024-12

2. Using Enhanced Representations to Predict Medical Procedures from Clinician Notes;Applied Sciences;2024-07-24

3. Current trends in the management of out of hospital cardiac arrest (OHCA);Biomedical Papers;2024-06-10

4. ECG - Driven Heart Disorder Profiler using Machine Learning Techniques;2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC);2024-05-02

5. Enhancing Cardiac Arrest Prediction with Neural Networks;2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS);2024-04-24