Communication requirements for cooperative problem solving systems
Information Systems - Knowledge engineering
Case-based reasoning
Misuse and nonuse of knowledge-based systems: the past experiences revisited
Implementing systems for supporting management decisions
A context model for knowledge-intensive case-based reasoning
International Journal of Human-Computer Studies - Special issue: using context in applications
Evaluating Explanations: A Content Theory
Evaluating Explanations: A Content Theory
The Application of Case-Based Reasoning to the Tasks of Health Care Planning
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
Improving Case Representation and Case Base Maintenance in Recommender Agents
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Case-Based Reasoning in the Care of Alzheimer's Disease Patients
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
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
Context in problem solving: a survey
The Knowledge Engineering Review
Comparing formal theories of context in AI
Artificial Intelligence
Prototypical Cases for Knowledge Maintenance in Biomedical CBR
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
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 Reasoning for Situation-Aware Ambient Intelligence: A Hospital Ward Evaluation Study
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Case-based retrieval to support the treatment of end stage renal failure patients
Artificial Intelligence in Medicine
Case-based reasoning in the health sciences: What's next?
Artificial Intelligence in Medicine
Prototype-based management of business process exception cases
Applied Intelligence
Decentralized case-based reasoning for the semantic web
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Case-based recommender systems: a unifying view
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
The socio-organizational age of artificial intelligence in medicine
Artificial Intelligence in Medicine
Semantical case based reasoning related to virtual doctor system (VDS)
AIKED'11 Proceedings of the 10th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Guest Editorial: Advances in case-based reasoning in the health sciences
Artificial Intelligence in Medicine
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Objectives: This paper aims at systematizing the ways in which the contextual knowledge embedded in the case library can support decision making, within case-based reasoning (CBR) systems. In particular, CBR applications to the medical domain are considered. Methods and material: After a quick survey on the definition and on the role of context in artificial intelligence research, we have focused on CBR, with a particular emphasis on medical applications. In this field, we have identified a number of very recent contributions, which strongly recognize context per se as a major knowledge source. These contributions propose to maintain and to rely on contextual information, in order to support human reasoning in different fashions. Results: We have distinguished three main directions in which contextual knowledge can be resorted to, in order to optimize physicians' decision making. Such directions can be summarized as follows: (1) to reduce the search space in the case retrieval step; (2) to maintain the overall knowledge content always valid and up to date, and (3) to adapt knowledge application and reasoning to local/personal constraints. We have also properly categorized the surveyed works within these three clusters, and identified the most significant ones, able to exploit contextual knowledge along more than one direction. Conclusions: Innovative applications of the contextual knowledge recorded in the case library, described and systematized in this paper, can trace promising research directions for the future.