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ecg_ai

Data processing scripts for ECG-AI

Citation: Khurshid S, Friedman S, Creeder C, Di Achille P, Diamant N, Singh P, Harrington LX, Wang X, Al-Alusi MA, Sarma G, Foulkes AS, Ellinor PT, Anderson CD, Ho JE, Philippakis AA, Batra P, Lubitz SA. Electrocardiogram-based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation. Circulation 2021

notes

  • Scripts assume the availability of 5-year AF risk inferences from ECG-AI or a comparable model.
  • At present, ECG-AI contains proprietary data and cannot be shared publicly. However, we are exploring options to allow open-sourcing or provide inferences given an ECG.

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Data processing scripts for ECG-AI

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