Andrew Ng and Masoumeh Haghpanahi the team's new paper -- Cardiologist-level arrhythmia detection from ECG using deep learning.
https://www.nature.com/articles/s41591-018-0268-3
https://stanfordmlgroup.github.io/projects/ecg2/
https://t.me/ArtificialIntelligenceArticles
#DeepLearning #MachineLearning #artificalintelligence
🙏Thanks to: @ArtificialIntelligenceArticles
https://www.nature.com/articles/s41591-018-0268-3
https://stanfordmlgroup.github.io/projects/ecg2/
https://t.me/ArtificialIntelligenceArticles
#DeepLearning #MachineLearning #artificalintelligence
🙏Thanks to: @ArtificialIntelligenceArticles
Nature
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Nature Medicine - Analysis of electrocardiograms using an end-to-end deep learning approach can detect and classify cardiac arrhythmia with high accuracy, similar to that of cardiologists.