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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...
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| Publicado no: | JAMA Netw Open |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Association
2021
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| Assuntos: | |
| Acesso em linha: | 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 |
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