Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

Keywords

Ambulatory ECGReceiver operating characteristicArtificial intelligenceDeep learningArtificial neural networkMachine learningMedicineAmbulatorySensitivity (control systems)Computer scienceElectrocardiographyCardiologyInternal medicineEngineering

MeSH Terms

AlgorithmsArrhythmiasCardiacCardiologistsElectrocardiographyHumansMonitoringAmbulatoryNeural NetworksComputerROC Curve

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Publication Info

Year: 2018
Type: article
Volume: 25
Issue: 1
Pages: 65-69
Citations: 2594
Access: Closed

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Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

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APA Style

                            
                                
                                    Awni Hannun, 
                                
                                    Pranav Rajpurkar, 
                                
                                    Masoumeh Haghpanahi
                                
                                et al.
                            
                            (2018). 
                            Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network. 
                            Nature Medicine
                            , 25
                            (1)
                            , 65-69.
                            https://doi.org/10.1038/s41591-018-0268-3
                        

Identifiers

DOI: 10.1038/s41591-018-0268-3
PMID: 30617320
PMCID: PMC6784839

Data Quality

Data completeness: 77%