Exemplar based knowledge acquisition: a unified approach to concept representati on, classification, and learning
Case-based reasoning
Adaptation-guided retrieval: questioning the similarity assumption in reasoning
Artificial Intelligence
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Experiences with Case-Based Reasoning Methods and Prototypes for Medical Knowledge-Based Systems
AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
Retrieving Adaptable Cases: The Role of Adaptation Knowledge in Case Retrieval
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Retrieval in a Prototype-Based Case Library: A Case Study in Diabetes Therapy Revision
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Diagnosis and Decision Support
Case-Based Reasoning Technology, From Foundations to Applications
Rapid retrieval algorithms for case-based reasoning
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Genomic Data Explosion - The Challenge for Bioinformatics?
Industrial Conference on Data Mining: Advances in Data Mining, Applications in E-Commerce, Medicine, and Knowledge Management
A new hybrid case-based architecture for medical diagnosis
Information Sciences—Informatics and Computer Science: An International Journal
Integrating data mining with case-based reasoning for chronic diseases prognosis and diagnosis
Expert Systems with Applications: An International Journal
A case-based approach for characterization and analysis of subgroup patterns
Applied Intelligence
Case-based estimation of the risk of enterobiasis
Artificial Intelligence in Medicine
A Fuzzy Hybrid Intelligent System for Human Semen Analysis
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
Journal of Biomedical Informatics
Knowledge and intelligent computing system in medicine
Computers in Biology and Medicine
An intelligent model for liver disease diagnosis
Artificial Intelligence in Medicine
An investigation of generalized cases
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Prototype-based management of business process exception cases
Applied Intelligence
Using prototypical cases and prototypicality measures for diagnosis of dysmorphic syndromes
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Adaptation and medical case-based reasoning focusing on endocrine therapy support
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Using prototypes and adaptation rules for diagnosis of dysmorphic syndromes
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
Artificial Intelligence in Medicine
A multi-agent system approach for monitoring the prescription of restricted use antibiotics
Artificial Intelligence in Medicine
Building a case-based diet recommendation system without a knowledge engineer
Artificial Intelligence in Medicine
Case-based reasoning in comparative effectiveness research
IBM Journal of Research and Development
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We have developed an antibiotics therapy advice system called ICONS for patients in an intensive care unit (ICU) who have caught an infection as additional complication. Since advice for such critically ill patients is needed very quickly and as the actual pathogen still has to be identified by the laboratory, we use an expected pathogen spectrum based on medical background knowledge and known resistances. The expected pathogen spectra and the resistance information are periodically updated from laboratory results. To speed up the process of finding suitable therapy recommendations, we have applied case-based reasoning (CBR) techniques. As all required information should always be up to date in medical expert systems, new cases should be incrementally incorporated into the case base and outdated ones should be updated or erased. For reasons of space limitations and of retrieval time an indefinite growth of the case base should be avoided. To fulfill these requirements we propose that specific single cases should be generalised to more general prototypical ones and that subsequent redundant cases should be erased. In this paper, we present evaluation results of different generation strategies for generalised cases (prototypes). Additionally, we compare measured retrieval times for two indexing retrieval algorithms: simple indexing, which is appropriate for small and medium case bases, and tree-hash retrieval, which is advantageous for large case bases.