Protos: an examplar-based learning apprentice
International Journal of Man-Machine Studies
Exemplar based knowledge acquisition: a unified approach to concept representati on, classification, and learning
Concept learning and heuristic classification in weak-theory domains
Artificial Intelligence
Applying case-based reasoning: techniques for enterprise systems
Applying case-based reasoning: techniques for enterprise systems
Supporting Start-to-Finish Development of Knowledge Bases
Machine Learning
A Two Layer Case-Based Reasoning Architecture for Medical Image Understanding
EWCBR '96 Proceedings of the Third European Workshop 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
A Case-Based Reasoner Adaptive to Different Cognitive Tasks
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
MacRad: Radiology Image Resource with a Case-Based Retrieval System
ICCBR '95 Proceedings of the First International Conference on 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
Building Bayesian Network Models in Medicine: The MENTOR Experience
Applied Intelligence
Knowledge and intelligent computing system in medicine
Computers in Biology and Medicine
PsyDis: Towards a diagnosis support system for psychological disorders
Expert Systems with Applications: An International Journal
Towards an ontology for psychological disorders
International Journal of Metadata, Semantics and Ontologies
RespiDiag: A Case-Based Reasoning System for the Diagnosis of Chronic Obstructive Pulmonary Disease
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
The amount of information available for physicians has dramatically increased in the recent past. In contrast, the specialist's ability to understand, synthesize and take into account such information is severely constrained by the short time available for the appointments. Therefore, systems reusing available knowledge and implementing reasoning processes become critical to support the tasks of the doctors. As a number of different techniques for building such systems are available, contrasting their effectiveness becomes a major concern. This is especially important in the case of infectious diseases that can be lethal within hours such as the Acute Bacterial Meningitis (ABM) for which implementing and contrasting different techniques allows for an increased reliability and speed in supporting the process of diagnosis. This work focuses on the construction of diagnosis support tools for ABM, reporting a comparative assessment of the quality of a Clinical Decision Support System (CDSS) resulting from the application of Case Based Reasoning (CBR), to that of an existing CDSS system developed using a Bayesian expert system. Although both approaches proved to be useful, the one based in CBR techniques show some interesting capabilities as higher precision, automatic learning or experience capturing, and also a better response to lack of input data. The three developed systems perform with high levels of accuracy- e.g. propose correct diagnostics based on a certain set of symptoms - but the one based on CBR present some additional capabilities that look very promising for implementing these kind of systems in a real world scenario.