Effect of Machine Learning on Dispatcher Recognition of Out-of-Hospital Cardiac Arrest During Calls to Emergency Medical Services: A Randomized Clinical Trial

IMPORTANCE: Emergency medical dispatchers fail to identify approximately 25% of cases of out-of-hospital cardiac arrest (OHCA), resulting in lost opportunities to save lives by initiating cardiopulmonary resuscitation. OBJECTIVE: To examine how a machine learning model trained to identify OHCA and a...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:JAMA Netw Open
Hlavní autoři: Blomberg, Stig Nikolaj, Christensen, Helle Collatz, Lippert, Freddy, Ersbøll, Annette Kjær, Torp-Petersen, Christian, Sayre, Michael R., Kudenchuk, Peter J., Folke, Fredrik
Médium: Artigo
Jazyk:Inglês
Vydáno: American Medical Association 2021
Témata:
Original Investigation
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7788469/
https://ncbi.nlm.nih.gov/pubmed/33404620
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2020.32320
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!

Podobné jednotky