Roman Hovorka - researchr alias

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Viewing Publication 1 - 17 from 17

2020

Novel Single-Site Device for Conjoined Glucose Sensing and Insulin Infusion: Performance Evaluation in Diabetes Patients During Home-UseMathias Tschaikner, Kevin Powell, Miró Jungklaus, Martin Fritz, Martin Ellmerer, Roman Hovorka, Steve Lane, Thomas R. Pieber, Werner Regittnig. tbe, 67(1):323-332, 2020. [doi]

2017

Modelling the effect of insulin on the disposal of meal-attributable glucose in type 1 diabetesFernando García-García, Roman Hovorka, Malgorzata E. Wilinska, Daniela Elleri, M. Elena Hernando. mbec, 55(2):271-282, 2017. [doi]

Modeling Day-to-Day Variability of Glucose-Insulin Regulation Over 12-Week Home Use of Closed-Loop Insulin DeliveryYue Ruan, Malgorzata E. Wilinska, Hood Thabit, Roman Hovorka. tbe, 64(6):1412-1419, 2017. [doi]

2014

Pharmacokinetics of insulin lispro in type 2 diabetes during closed-loop insulin deliveryYue Ruan, Hood Thabit, Kavita Kumareswaran, Roman Hovorka. cmpb, 117(2):298-307, 2014. [doi]

2013

Stochastic Virtual Population of Subjects With Type 1 Diabetes for the Assessment of Closed-Loop Glucose ControllersA. Haidar, Malgorzata E. Wilinska, J. A. Graveston, Roman Hovorka. tbe, 60(12):3524-3533, 2013. [doi]

2012

Estimating postprandial glucose fluxes using hierarchical Bayes modellingAhmad Haidar, Elizabeth Potocka, Benoit Boulet, A. Margot Umpleby, Roman Hovorka. cmpb, 108(1):102-112, 2012. [doi]

2006

Automated Glucose Control in the ICU: Effect of Nutritional Protocol and Measurement ErrorMalgorzata E. Wilinska, Ludovic J. Chassin, Roman Hovorka. embc 2006: 67-70 [doi]

2005

Insulin kinetics in type-1 diabetes: continuous and bolus delivery of rapid acting insulinMalgorzata E. Wilinska, Ludovic J. Chassin, Helga C. Schaller, Lukas Schaupp, Thomas R. Pieber, Roman Hovorka. tbe, 52(1):3-12, 2005. [doi]

2004

Evaluation of glucose controllers in virtual environment: methodology and sample applicationLudovic J. Chassin, Malgorzata E. Wilinska, Roman Hovorka. artmed, 32(3):171-181, 2004. [doi]

2000

Deconvolution and Credible Intervals Using Markov Chain Monte Carlo MethodRoman Hovorka. ismda 2000: 111-121 [doi]

1999

Dynamic updating in DIAS-NIDDM and DIAS causal probabilistic networksRoman Hovorka, Romulus S. Tudor, David Southerden, Darryl R. Meeking, Steen Andreassen, Ole K. Hejlesen, David A. Cavan. tbe, 46(2):158-168, 1999. [doi]

1995

Metabolic Modelling: Past, Present, and FutureEwart R. Carson, Roman Hovorka. eurosim 1995: 45-54

1992

Causal Probabilistic Network Modeling - An Illustration of its Role in the Management of Chronic DiseasesRoman Hovorka, Steen Andreassen, Jonathan J. Benn, Kristian G. Olesen, Ewart R. Carson. IBMSJ, 31(4):635-648, 1992.

1991

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