A Cognitive Approach to Scientific Data Mining for Syndrome Discovery: A Case-Study in Dermatology

The author introduces a machine learning system for cluster analysis to take on the problem of syndrome discovery in the clinical domain. A syndrome is a set of typical clinical features a prototype that appear together often enough to suggest they may represent a single, unknown, disease. The discovery of syndromes and relative taxonomy formation is therefore the critical early phase of the process of scientific discovery in the medical domain. The system proposed discovers syndromes following Eleanor Rosch's prototype theory on how the human mind categorizes and forms taxonomies, and thereby to understand how humans perform these activities and to automate or assist the process of scientific discovery. The system implemented can be considered a scientific discovery support system as it can discover unknown syndromes to the advantage of subsequent clinical practices and research activities.

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