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Data-Driven Guided Attention for Analysis of Physiological Waveforms With Deep Learning.

, , , and . IEEE J. Biomed. Health Informatics, 26 (11): 5482-5493 (2022)

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The National Institutes of Health funding for clinical research applying machine learning techniques in 2017., , , , , , and . npj Digit. Medicine, (2020)Temporal relationship of computed and structured diagnoses in electronic health record data., , , , , , and . BMC Medical Informatics Decis. Mak., 21 (1): 61 (2021)Joint Embedding of Food Photographs and Blood Glucose for Improved Calorie Estimation., , , , , , , , , and . BHI, page 1-4. IEEE, (2023)A Metric Learning Approach for Personalized Meal Macronutrient Estimation from Postprandial Glucose Response Signals., , , , , , and . BHI, page 1-5. IEEE, (2021)Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts., , , , , , , and . BHI, page 1-4. IEEE, (2021)Enhancing Continuous Glucose Monitoring-based Eating Detection with Wearable Biomarkers., , , , , and . BHI, page 1-4. IEEE, (2022)Data-Driven Guided Attention for Analysis of Physiological Waveforms With Deep Learning., , , and . IEEE J. Biomed. Health Informatics, 26 (11): 5482-5493 (2022)Earlier identification of hypertensive events in a telemonitoring system., , , and . BSN, page 1-4. IEEE, (2023)Tagging wearable accelerometers in camera frames through information translation between vision sensors and accelerometers., , , and . ICCPS, page 174-184. ACM, (2019)Predicting the meal macronutrient composition from continuous glucose monitors., , , , , and . CoRR, (2022)