articleTop 1% cited
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Nature Medicine · 2018 · Vol. 25(1) · pp. 65–69
Awni Hannun✉(Stanford Medicine)Pranav Rajpurkar(Stanford University)Masoumeh Haghpanahi(iRhythm (United States))Geoffrey H. Tison(University of California, San Francisco)Codie Bourn(iRhythm (United States))Mintu P. Turakhia(VA Palo Alto Health Care System)Andrew Y. Ng(Stanford University)
ECG Monitoring and AnalysisCardiac electrophysiology and arrhythmiasEEG and Brain-Computer InterfacesAmbulatory ECGReceiver operating characteristicArtificial intelligenceDeep learningArtificial neural networkMachine learningMedicineAmbulatorySensitivity (control systems)Computer science
MeSH terms
CardiologistsAlgorithmsArrhythmias, CardiacElectrocardiographyHumansROC CurveNeural Networks, ComputerMonitoring, Ambulatory
Funding
- iRhythm Technologies
Citations
2,791
FWCI
166.03
field-weighted impact
References
50
Percentile
100%
vs. same field & year
Citations per year
Cited by
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References
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems
Machine Learning · 2001 · 2,221 citations
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
PLoS ONE · 2015 · 4,310 citations
Long Short-Term Memory
Neural Computation · 1997 · 95,078 citations
A method of comparing the areas under receiver operating characteristic curves derived from the same cases.
Radiology · 1983 · 7,066 citations
PhysioBank, PhysioToolkit, and PhysioNet
Circulation · 2000 · 14,211 citations
Mastering the game of Go with deep neural networks and tree search
Nature · 2016 · 15,578 citations
Deep learning approach for active classification of electrocardiogram signals
Information Sciences · 2016 · 628 citations
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