title: A case-based learning approach to grouping cases with multiple malformations.
abstract: A case-based classification system can provide assistance to specialists in dysmorphology. This article describes a case-based model designed to assist in identification and retrospective analysis of rare types of syndromes that have proved difficult to diagnose. The primary task of diagnosis is complemented by a learning, or grouping, task. Using data sets of diagnosed cases in related categories of syndromes, we demonstrate how a case-based learning algorithm can extend the retrieval and indexing mechanisms of standard databases to provide a focus for analysis of syndrome classifications.
authors.affiliation: Department of Computer Science, University College of London.
authors.forename: C D
authors.initials: CD
authors.lastname: Evans
authors.forename: R M
authors.initials: RM
authors.lastname: Winter
mesh_terms: D000015:Abnormalities, Multiple / Q000145:classification*; D000465:Algorithms; D001185:Artificial Intelligence; D001848:Bone Diseases, Developmental / Q000145:classification*; D003663:Decision Trees; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D008954:Models, Biological; D012985:Software Design