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Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation., , , , , , , и . ICASSP, стр. 1-5. IEEE, (2023)Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction., , , , и . CoRR, (2022)Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding., , , , , , , , , и . CoRR, (2023)Assessing Prescriber Behavior with a Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome., , , , , и . Appl. Clin. Inform., 12 (01): 190-197 (2021)Interpretation of Intracardiac Electrograms Through Textual Representations., , , , , , , и . CoRR, (2024)Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report., , , , , , , , , и . ML4H@NeurIPS, том 225 из Proceedings of Machine Learning Research, стр. 480-497. PMLR, (2023)GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction., , , , , , , и . MLHC, том 182 из Proceedings of Machine Learning Research, стр. 172-197. PMLR, (2022)Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data., , , , и . BMC Medical Informatics Decis. Mak., 20 (1): 252 (2020)Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?, , , , , , , и . EACL (Findings), стр. 442-453. Association for Computational Linguistics, (2023)