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LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management.

, , , , and . Sensors, 21 (9): 3303 (2021)

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Using LSTMs to learn physiological models of blood glucose behavior., , , and . EMBC, page 2887-2891. IEEE, (2017)Toward Case-Based Reasoning for Diabetes Management: A Preliminary Clinical Study and Decision Support System Prototype., , and . Comput. Intell., 25 (3): 165-179 (2009)LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management., , , , and . Sensors, 21 (9): 3303 (2021)Case-based reasoning in the health sciences: What's next?, and . Artif. Intell. Medicine, 36 (2): 127-135 (2006)Emerging Applications for Intelligent Diabetes Management., , , , and . AI Magazine, 33 (2): 67-78 (2012)Synergistic case-based reasoning in medical domains., , , and . Expert Syst. Appl., 41 (2): 249-259 (2014)Emerging Applications for Intelligent Diabetes Management., , , , and . IAAI, page 1668-1673. AAAI, (2011)The 4 Diabetes Support System: A Case Study in CBR Research and Development., , , , , and . ICCBR, volume 6880 of Lecture Notes in Computer Science, page 137-150. Springer, (2011)Introduction to the Special Issue on Case-Based Reasoning in the Health Sciences., and . Comput. Intell., 22 (3-4): 143-147 (2006)Preface for the special section on case-based reasoning in the health sciences., , and . Expert Syst. Appl., 41 (2): 247-248 (2014)