Case-based reasoning: a research paradigm
AI Magazine
Integrating Rule-Based and Case-Based Decision Making in Diabetic Patient Management
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
A Case-Based Reasoner Adaptive to Different Cognitive Tasks
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Case-Based Reasoning in the Health Sciences: Why It Matters for the Health Sciences and for CBR
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Case-Based Decision Support for Patients with Type 1 Diabetes on Insulin Pump Therapy
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Time series prediction using support vector machines: a survey
IEEE Computational Intelligence Magazine
A multi-module case-based biofeedback system for stress treatment
Artificial Intelligence in Medicine
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Synergistic case-based reasoning in medical domains
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
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This paper presents the 4 Diabetes Support SystemTM (4DSS) project as a case study in case-based reasoning (CBR) research and development. This project aims to help patients with type 1 diabetes on insulin pump therapy achieve and maintain good blood glucose control. Over the course of seven years and three clinical research studies, a series of defining cases altered the research and development path. Each of these cases suggested a new, unanticipated research direction or clinical application. New AI technologies, including naive Bayes classification and support vector regression, were incorporated. New medical research into glycemic variability and blood glucose prediction was undertaken. The CBR research paradigm has provided a strong framework for medical research as well as for artificial intelligence (AI) research. This new work has the potential to positively impact the health and wellbeing of patients with diabetes. This paper shares the 4DSS project experience.