Medical applications in case-based reasoning
The Knowledge Engineering Review
Special issue on case-based reasoning in the health sciences
Applied Intelligence
Global optimization of case-based reasoning for breast cytology diagnosis
Expert Systems with Applications: An International Journal
Case-based reasoning in the health sciences: What's next?
Artificial Intelligence in Medicine
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
Artificial Intelligence in Medicine
Applying instance-based techniques to prediction of final outcome in acute stroke
Artificial Intelligence in Medicine
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Objective: To introduce an original case-based machine learning (ML) and prediction system Constud and its application on tabular data for estimation of the risk of enterobiasis among nursery school children in Estonia. Methods and materials: The system consists of a software application and a knowledge base of observation data, parameters, and results. The data were obtained from anal swabs for the diagnosis of enterobiasis, from questionnaires for children's parents, observations in nursery schools and interviews with supervisors of the groups. The total number of studied children was 1905. Ten parallel ML processes were conducted to find the best set of weights for features and cases. Results: The best goodness-of-fit according to the true skill statistic (TSS) was 0.381. Approximately equal fit can be reached using different sets of features. Cross-validation TSS of logit-regression and classification tree models was