@article{PÉREZ-ALENDA_CARRASCO_RODRÍGUEZ_SORIA-OLIVAS_MARTÍNEZ_BONANAD-BOIX_QUEROL_2017, title={SELF-ORGANIZING MAPS-BASED METHOD FOR THE ANALYSIS OF HEMARTHROSIS DATA IN HAEMOPHILIC PATIENTS}, volume={2}, url={https://ijrdo.org/index.php/hsn/article/view/960}, DOI={10.53555/hsn.v2i5.960}, abstractNote={<p>Joint bleeding are the most common injuries in hemophilia and if not treated properly can<br>lead to disabling arthropathies from an early age. In order to ensure a good quality of life related to<br>health in hemophilic patients is necessary a continuous monitoring of these injuries in addition to<br>treatments that involve a very high cost to the health system. In this work, a database of hemofilia<br>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<br>various characteristics of the tested population. Results obtained show that it is possible to obtain all<br>this information in an intuitive and visual way, facilitating to the specialists the task of analysis.</p&gt;}, number={5}, journal={IJRDO -JOURNAL OF HEALTH SCIENCES AND NURSING}, author={PÉREZ-ALENDA, SOFÍA and CARRASCO, JUAN J. and RODRÍGUEZ, MARTA AGUILAR- and SORIA-OLIVAS, EMILIO and MARTÍNEZ, JOSE MARÍA MARTÍNEZ- and BONANAD-BOIX, SANTIAGO and QUEROL, FELIPE}, year={2017}, month={May}, pages={88-103} }