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Original Article

Decision support for insulin regime prescription based on a neural-network approach

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Pages 23-34 | Received 01 Jul 1995, Published online: 12 Jul 2009

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E. D. Lehmann & T. Deutsch. (1995) Application of computers in diabetes care-a review. II. Computers for decision support and education. Medical Informatics 20:4, pages 303-329.
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Articles from other publishers (9)

Nichole S. Tyler & Peter G. Jacobs. (2020) Artificial Intelligence in Decision Support Systems for Type 1 Diabetes. Sensors 20:11, pages 3214.
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Bartolomeo Cosenza. (2012) Off-line control of the postprandial glycemia in type 1 diabetes patients by a fuzzy logic decision support. Expert Systems with Applications 39:12, pages 10693-10699.
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Bartolomeo Cosenza. (2012) RETRACTED ARTICLE: Development of a neural network for glucose concentration prevision in patients affected by type 1 diabetes. Bioprocess and Biosystems Engineering 35:7, pages 1249-1249.
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T. Jayalakshmi & A. Santhakumaran. (2011) Statistical Normalization and Back Propagationfor Classification. International Journal of Computer Theory and Engineering, pages 89-93.
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T. Jayalskshmi & A. Santhakumaran. (2010) Impact of Preprocessing for Diagnosis of Diabetes Mellitus Using Artificial Neural Networks. Impact of Preprocessing for Diagnosis of Diabetes Mellitus Using Artificial Neural Networks.
Erik OttoChristopher SemotokJan AndrysekOtman Basir. (2000) An Intelligent Diabetes Software Prototype: Predicting Blood Glucose Levels and Recommending Regimen Changes. Diabetes Technology & Therapeutics 2:4, pages 569-576.
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Stavroula G. Mougiakakou & Konstantina S. Nikita. (2000) A Neural Network Approach for Insulin Regime and Dose Adjustment in Type 1 Diabetes. Diabetes Technology & Therapeutics 2:3, pages 381-389.
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V. Shankararaman, V. Ambrosiadou, M. Loomes & T. Panchal. (2000) Patient care management using a multi-agent approach. Patient care management using a multi-agent approach.
Romulus S Tudor, Roman Hovorka, David A Cavan, Darryl Meeking, Ole K Hejlesen & Steen Andreassen. (1998) DIAS–NIDDM—a model-based decision support system for insulin dose adjustment in insulin-treated subjects with NIDDM. Computer Methods and Programs in Biomedicine 56:2, pages 175-192.
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