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Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation.

, , , , , , , and . ICASSP, page 1-5. IEEE, (2023)

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