SELF-ORGANIZING MAPS-BASED METHOD FOR THE ANALYSIS OF HEMARTHROSIS DATA IN HAEMOPHILIC PATIENTS
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Abstract
Joint bleeding are the most common injuries in hemophilia and if not treated properly can
lead to disabling arthropathies from an early age. In order to ensure a good quality of life related to
health in hemophilic patients is necessary a continuous monitoring of these injuries in addition to
treatments that involve a very high cost to the health system. In this work, a database of hemofilia
patients is analyzed using Self-Organizing Maps (SOM). All variables are depicted together, so that it is possible to obtain the relationships between them, identifying possible clusters in data, and infer
various characteristics of the tested population. Results obtained show that it is possible to obtain all
this information in an intuitive and visual way, facilitating to the specialists the task of analysis.
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