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Design of a Mobile, Safety-Critical in-Patient Glucose Management System.

, , , , , , , , , and . MIE, volume 169 of Studies in Health Technology and Informatics, page 950-954. IOS Press, (2011)

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Robust PBPK/PD-Based Model Predictive Control of Blood Glucose., , , , , and . IEEE Trans. Biomed. Eng., 63 (7): 1492-1504 (2016)Development of a Single-Site Device for Conjoined Glucose Sensing and Insulin Delivery in Type-1 Diabetes Patients., , , , , , and . IEEE Trans. Biomed. Eng., 67 (1): 312-322 (2020)Novel Single-Site Device for Conjoined Glucose Sensing and Insulin Infusion: Performance Evaluation in Diabetes Patients During Home-Use., , , , , , , , and . IEEE Trans. Biomed. Eng., 67 (1): 323-332 (2020)Insulin kinetics in type-1 diabetes: continuous and bolus delivery of rapid acting insulin., , , , , and . IEEE Trans. Biomed. Eng., 52 (1): 3-12 (2005)Towards Personalization of Diabetes Therapy Using Computerized Decision Support and Machine Learning: Some Open Problems and Challenges., , , , and . Smart Health, volume 8700 of Lecture Notes in Computer Science, Springer, (2015)A Mobile Android-Based Application for In-hospital Glucose Management in Compliance with the Medical Device Directive for Software., , , , , , , and . MobiHealth, volume 83 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 211-216. Springer, (2011)Development, integration and operation of mobile, Android-based medical devices in hospitals: Experiences from the GlucoTab® system., , , , and . MobiHealth, page 128-131. ICST/IEEE, (2014)Automatic System Testing of a Decision Support System for Insulin Dosing Using Google Android., , , , , and . EFMI-STC, volume 186 of Studies in Health Technology and Informatics, page 187-191. IOS Press, (2013)IPO: a tool for automated optimization of XCMS parameters., , , , , , , , , and 1 other author(s). BMC Bioinform., (2015)Impact of errors in paper-based and computerized diabetes management with decision support for hospitalized patients with type 2 diabetes. A post-hoc analysis of a before and after study., , , , , , , , and . Int. J. Medical Informatics, (2016)