An artificial neural network to safely reduce the number of ambulance ECGs transmitted for physician assessment in a system with prehospital detection of ST elevation myocardial infarction

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Bibliographic Details
Published in:Scandinavian journal of trauma, resuscitation and emergency medicine resuscitation and emergency medicine, 2012-02, Vol.20 (1), p.8-8
Main Authors: Forberg, Jakob Lundager, Khoshnood, Ardavan, Green, Michael, Ohlsson, Mattias, Björk, Jonas, Jovinge, Stefan, Edenbrandt, Lars, Ekelund, Ulf
Format: Article
Language:English
Subjects:
Acute coronary syndromes
Aged
Anestesi och intensivvård
Anesthesiology and Intensive Care
Angina pectoris
Angioplasty
Annan klinisk medicin
Annan teknik
Artificiell Intelligens
Cardiac and Cardiovascular Systems
Cardiology
Cardiovascular disease
Clinical Medicine
Diagnos
Diagnosis
Diagnosis, Differential
ECG
EKG
Electrocardiogram
Electrocardiography
Electrocardiography - statistics & numerical data
Elektrokardiografi
elektrokardiogram (EKG)
Emergency Medical Services
Engineering and Technology
Female
Heart attacks
hjerteinfarkt
Hjärtinfarkt
Humans
Kardiologi
Klinisk medicin
Male
Medical and Health Sciences
Medical imaging
Medicin och hälsovetenskap
Myocardial Infarction
Myocardial Infarction - diagnosis
Myocardial Ischemia - diagnosis
Neural networks
Neural Networks (Computer)
Original Research
Other Clinical Medicine
Other Engineering and Technologies
Other Engineering and Technologies not elsewhere specified
Patients
perkutan koronar intervensjon (PCI)
Physicians
prehospital behandling
Prospective Studies
Reproducibility of Results
ROC Curve
Software
ST Elevation Myocardial Infarction
STEMI
Teknik
Övrig annan teknik
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Description
Summary:Inneholder sammendrag
ISSN:1757-7241
1757-7241
DOI:10.1186/1757-7241-20-8