A framework for knowledge-based temporal abstraction
Artificial Intelligence
Efficient Similarity Search In Sequence Databases
FODO '93 Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms
Case-Based Reasoning in CARE-PARTNER: Gathering Evidence for Evidence-Based Medical Practice
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Prototypical case mining from biomedical literature for bootstrapping a case base
Applied Intelligence
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
Case-based retrieval to support the treatment of end stage renal failure patients
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
A multi-module case-based biofeedback system for stress treatment
Artificial Intelligence in Medicine
The 4 diabetes support system: a case study in CBR research and development
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
Case-Based Reasoning Systems in the Health Sciences: A Survey of Recent Trends and Developments
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Automatic Detection of Excessive Glycemic Variability for Diabetes Management
ICMLA '11 Proceedings of the 2011 10th International Conference on Machine Learning and Applications and Workshops - Volume 02
Supporting Flexible, Efficient, and User-Interpretable Retrieval of Similar Time Series
IEEE Transactions on Knowledge and Data Engineering
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This paper presents four synergistic systems that exemplify the approaches and benefits of case-based reasoning in medical domains. It then explores how these systems couple Artificial Intelligence (AI) research with medical research and practice, integrate multiple AI and computing methodologies, leverage small numbers of available cases, reason with time series data, and integrate numeric data with contextual and subjective information. The following systems are presented: (1) CARE-PARTNER, which supports the long-term follow-up care of stem-cell transplantation patients; (2) the 4 Diabetes Support System, which aids in managing patients with type 1 diabetes on insulin pump therapy; (3) Retrieval of HEmodialysis in NEphrological Disorders, which supports hemodialysis treatment of patients with end stage renal disease; and (4) the Malardalen Stress System, which aids in the diagnosis and treatment of stress-related disorders.