Abstract
As the amount of data in medical databases increases, systems for medical data retrieval are growing in popularity. Some of these analyses include inducing propositional rules from databases using many soft techniques, and then using these rules in an expert system. Diagnostic rules and information on features are extracted from clinical databases on diseases of congenital anomaly. This article explains the most current soft computing techniques and some of the adaptive techniques encompassing an extensive group of methods that have been applied in the medical domain and that are used for the discovery of data dependencies, importance of features, patterns in sample data, and feature-space dimensionality reduction. These approaches pave the way for new and interesting avenues of research in medical imaging and represent an important challenge for researchers.
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