Neural network-derived electrocardiographic features have prognostic significance and important phenotypic and genotypic associations

2023-06-16 cardiovascular medicine Title + abstract only

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BackgroundSubtle prognostically-important ECG features may not be apparent to physicians. In the course of supervised machine learning (ML), many thousands of ECG features are identified. These are not limited to conventional ECG parameters and morphology. HypothesisNovel neural network (NN)-derived ECG features can predict future cardiovascular disease and mortality Methods and ResultsWe extracted 5120 NN-derived ECG features from an AI-ECG model trained for six simple diagnoses and applied u...

Neural network-derived electrocardiographic features have prognostic significance and important phenotypic and genotypic associations

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