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Automated classification of cardiology diagnoses based on textual medical reports., , , и . J. Inf. Data Manag., (2021)On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG., , , , и . CoRR, (2022)Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study., , , , , , , , , и 2 other автор(ы). CoRR, (2019)On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG., , , , и . IEEE Trans. Biomed. Eng., 70 (7): 2227-2236 (июля 2023)Explaining End-to-End ECG Automated Diagnosis Using Contextual Features., , , , , и . ECML/PKDD (5), том 12461 из Lecture Notes in Computer Science, стр. 204-219. Springer, (2020)Contextualized interpretable machine learning for medical diagnosis., , , и . Commun. ACM, 63 (11): 56-58 (2020)Explaining Black-Box Automated Electrocardiogram Classification to Cardiologists., , , , , и . CinC, стр. 1-4. IEEE, (2020)Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network., , , , , , , , , и . CoRR, (2018)Medical Imaging Processing Architecture on ATMOSPHERE Federated Platform., , , , , , , и . CLOSER, стр. 589-594. SciTePress, (2019)Explaining end-to-end ECG automated diagnosis using contextual features, , , , , и . Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, (2020)