DC proposal: decision support methods in community-driven knowledge curation platforms
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
Cross-document structural relationship identification using supervised machine learning
Applied Soft Computing
Research themes in the case-based reasoning in health sciences core literature
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
Improving user experience with case-based reasoning systems using text mining and Web 2.0
Expert Systems with Applications: An International Journal
Length of stay prediction for clinical treatment process using temporal similarity
Expert Systems with Applications: An International Journal
Inducing and storing generalised evidences using semantic web formalisms
HIKM '12 Proceedings of the Fifth Australasian Workshop on Health Informatics and Knowledge Management - Volume 129
Synergistic case-based reasoning in medical domains
Expert Systems with Applications: An International Journal
Reprint of "Length of stay prediction for clinical treatment process using temporal similarity"
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A New Hybrid Case-Based Reasoning Approach for Medical Diagnosis Systems
Journal of Medical Systems
International Journal of Hybrid Intelligent Systems
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The health sciences are, nowadays, one of the major application areas for case-based reasoning (CBR). The paper presents a survey of recent medical CBR systems based on a literature review and an e-mail questionnaire sent to the corresponding authors of the papers where these systems are presented. Some clear trends have been identified, such as multipurpose systems: more than half of the current medical CBR systems address more than one task. Research on CBR in the area is growing, but most of the systems are still prototypes and not available in the market as commercial products. However, many of the projects/systems are intended to be commercialized.