Vol 2 No 5 (2017): IJRDO - Journal of Health Sciences and Nursing
Articles

SELF-ORGANIZING MAPS-BASED METHOD FOR THE ANALYSIS OF HEMARTHROSIS DATA IN HAEMOPHILIC PATIENTS

SOFÍA PÉREZ-ALENDA
University of Valencia,
Bio
JUAN J. CARRASCO
University of Valencia
Bio
MARTA AGUILAR- RODRÍGUEZ
University and Polytechnic Hospital La Fe
Bio
EMILIO SORIA-OLIVAS
University of Valencia,
Bio
JOSE MARÍA MARTÍNEZ- MARTÍNEZ
University of Valencia
Bio
SANTIAGO BONANAD-BOIX
University and Polytechnic Hospital La Fe,
Bio
FELIPE QUEROL
University of Valencia,
Bio
Published May 31, 2017
Keywords
  • Hemarthrosis,
  • Hemophilia,
  • Ultrasonography,
  • Visual Information Extraction,
  • SelfOrganizing Maps;,
  • Clinical Evaluation.
  • ...More
    Less
How to Cite
PÉREZ-ALENDA, S., CARRASCO, J. J., RODRÍGUEZ, M. A.-, SORIA-OLIVAS, E., MARTÍNEZ, J. M. M.-, BONANAD-BOIX, S., & QUEROL, F. (2017). SELF-ORGANIZING MAPS-BASED METHOD FOR THE ANALYSIS OF HEMARTHROSIS DATA IN HAEMOPHILIC PATIENTS. IJRDO - Journal of Health Sciences and Nursing (ISSN: 2456-298X), 2(5), 88-103. Retrieved from https://ijrdo.org/index.php/hsn/article/view/960

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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