Early recognition of a caller’s emotion in out-of-hospital cardiac arrest dispatching: An artificial intelligence approach-Reference-Cited by-同舟云学术

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Early recognition of a caller’s emotion in out-of-hospital cardiac arrest dispatching: An artificial intelligence approach

Published:2021-10 Issue: Volume:167 Page:144-150
ISSN:0300-9572
Container-title:Resuscitation
language:en
Short-container-title:Resuscitation

Author:

Chin Kuan-Chen,Hsieh Tzu-Chun,Chiang Wen-Chu,Chien Yu-Chun,Sun Jen-Tung,Lin Hao-Yang,Hsieh Ming-Ju,Yang Chi-Wei,Chen Albert Y.,Ma Matthew Huei-Ming

Funder

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Emergency,Emergency Medicine

Reference31 articles.

1. Outcomes for out-of-hospital cardiac arrests across 7 countries in Asia: The Pan Asian Resuscitation Outcomes Study (PAROS);Ong;Resuscitation,2015

2. The effect of the number and level of emergency medical technicians on patient outcomes following out of hospital cardiac arrest in Taipei;Sun;Resuscitation,2018

3. Part 1: Executive summary: 2020 American Heart Association guidelines for cardiopulmonary resuscitation and emergency cardiovascular care;Merchant;Circulation,2020

4. Modifiable factors associated with improved cardiac arrest survival in a multicenter basic life support/defibrillation system: OPALS study phase I results;Stiell;Ann Emerg Med,1999

5. Bystander effots and 1-year outcomes in out-of-hospital cardiac arrest;Kragholm;N Engl J Med,2017

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1. Pre-Hospital Stroke Care beyond the MSU;Current Neurology and Neuroscience Reports;2024-06-22

2. Development and application of emotion recognition technology — a systematic literature review;BMC Psychology;2024-02-24

3. Simsamu - a French Medical Dispatch Dialog Open Dataset;2024

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

5. Zusammenhang zwischen Notrufabfrage und Transportentscheidung;Notfall + Rettungsmedizin;2023-10-19

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