AIMC Topic: Emergency Medical Services

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Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: Linking emergency medical services (EMS) electronic patient care reports (ePCRs) to emergency department (ED) records can provide clinicians access to vital information that can alter management. It can also create rich databases for resea...
Humans Algorithms Retrospective Studies Female Male Logistic Models Emergency Medical Services Emergency Service, Hospital Supervised Machine Learning Medical Record Linkage
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Comparison of Machine Learning Optimal Classification Trees With the Pediatric Emergency Care Applied Research Network Head Trauma Decision Rules.

JAMA pediatrics Jul 1, 2019
IMPORTANCE: Computed tomographic (CT) scanning is the standard for the rapid diagnosis of intracranial injury, but it is costly and exposes patients to ionizing radiation. The Pediatric Emergency Care Applied Research Network (PECARN) rules for ident...
Humans Machine Learning Decision Support Techniques Prospective Studies Female Infant, Newborn Male Infant Adolescent Child, Preschool Child Follow-Up Studies Emergency Medical Services Triage Emergency Service, Hospital Trauma Severity Indices Craniocerebral Trauma
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Machine learning and new vital signs monitoring in civilian en route care: A systematic review of the literature and future implications for the military.

The journal of trauma and acute care surgery Nov 1, 2016
BACKGROUND: Although air transport medical services are today an integral part of trauma systems in most developed countries, to date, there are no reviews on recent innovations in civilian en route care. The purpose of this systematic review was to ...
Humans Machine Learning Software Monitoring, Physiologic Emergency Medical Services Air Ambulances Vital Signs Transportation of Patients
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