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Emergency Medical Service Communication Systems

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Machine learning as a supportive tool to recognize cardiac arrest in emergency calls.

Resuscitation 30664917
BACKGROUND: Emergency medical dispatchers fail to identify approximately 25% of cases of out of hospital cardiac arrest, thus lose the opportunity to provide the caller instructions in cardiopulmonary resuscitation. We examined whether a machine lear...
Aged Aged, 80 and over Cardiopulmonary Resuscitation Emergency Medical Dispatch Emergency Medical Service Communication Systems Emergency Medical Services Female Humans Machine Learning Male Middle Aged Out-of-Hospital Cardiac Arrest Retrospective Studies ROC Curve Time Factors
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