Combining rule-based reasoning and mathematical modelling in diabetes care

Eldon D. Lehmann, Tibor Deutsch, Ewart R. Carson, P. H. Sönksen
Published 1994 in Artificial Intelligence in Medicine

Abstract

A prototype computer system utilising a model of carbohydrate metabolism linked to an expert system is described. The prototype which integrates quantitative and qualitative computational methodologies can be used to predict blood glucose profiles and adjust insulin doses in insulin-dependent (type I) diabetic subjects. A feedback loop insulin-dosage… (More)

DOI: 10.1016/0933-3657(94)90042-6

Dynamic Interactive Educational Diabetes Simulations Using the World Wide Web: An Experience of More Than 15 Years with AIDA Online

Eldon D. Lehmann, Dennis K. DeWolf, Christopher A. Novotny, Karen Reed, Robert R. Gotwals
International journal of endocrinology
2014

Combining rule-based reasoning and mathematical modelling in diabetes care

Abstract

Topics

Figures and Tables

Cited By

Dynamic Interactive Educational Diabetes Simulations Using the World Wide Web: An Experience of More Than 15 Years with AIDA Online

Dosage planning for type 2 diabetes mellitus patients using Indexing HDMR

Development of AIDA v4.3b Diabetes Simulator: Technical Upgrade to Support Incorporation of Lispro, Aspart, and Glargine Insulin Analogues

Multi-Agent Architecture for the Provision of Intelligent Telemedicine Services in Diabetes Management

Individual prognosis of diabetes long-term risks: a CBR approach.

Integrating case based and rule based reasoning in a decision support system: evaluation with simulated patients

Compartmental models for glycaemic prediction and decision-support in clinical diabetes care: promise and reality.

Temporal Abstractions for Interpreting Diabetic Patients Monitoring Data

References

Slides referencing similar topics

Combining rule-based reasoning and mathematical modelling in diabetes care

Abstract

Topics

Figures and Tables

Cited By

Dynamic Interactive Educational Diabetes Simulations Using the World Wide Web: An Experience of More Than 15 Years with AIDA Online

Dosage planning for type 2 diabetes mellitus patients using Indexing HDMR

Development of AIDA v4.3b Diabetes Simulator: Technical Upgrade to Support Incorporation of Lispro, Aspart, and Glargine Insulin Analogues

Multi-Agent Architecture for the Provision of Intelligent Telemedicine Services in Diabetes Management

Individual prognosis of diabetes long-term risks: a CBR approach.

Integrating case based and rule based reasoning in a decision support system: evaluation with simulated patients

Compartmental models for glycaemic prediction and decision-support in clinical diabetes care: promise and reality.

Temporal Abstractions for Interpreting Diabetic Patients Monitoring Data

References

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