Document Type
Article
Publication Date
1-1-2010
Abstract
Even though the World Health Organization criteria's for classifying the dengue infection have been used for long time, recent studies declare that several difficulties have been faced by the clinicians to apply these criteria. Accordingly, many studies have proposed modified criteria to identify the risk in dengue patients based on statistical analysis techniques. None of these studies utilized the powerfulness of the self-organized map (SOM) in visualizing, understanding, and exploring the complexity in multivariable data. Therefore, this study utilized the clustering of the SOM technique to identify the risk criteria in 195 dengue patients. The new risk criteria were defined as: platelet count less than or equal 40,000 cells per mm 3, hematocrit concentration great than or equal 25 and aspartate aminotransferase (AST) rose by fivefold the normal upper limit for AST/alanine aminotransfansferase (ALT) rose by fivefold the normal upper limit for ALT. The clusters analysis indicated that any dengue patient fulfills any two of the risk criteria is consider as high risk dengue patient. © 2009 International Federation for Medical and Biological Engineering.
Keywords
Clustering, Dengue fever, Risk criteria, Self-organizing ma, World Health Organization, Aspartate aminotransferase, Multi variables, Self-organized map, Statistical analysis, Upper limits, Cluster analysis, Conformal mapping, Health, Strength of materials, Health risks
Divisions
fac_eng
Publication Title
Medical and Biological Engineering and Computing
Volume
48
Issue
3
Additional Information
Faisal, Tarig Taib, Mohd Nasir Ibrahim, Fatimah eng Research Support, Non-U.S. Gov't 2009/12/18 06:00 Med Biol Eng Comput. 2010 Mar;48(3):293-301. doi: 10.1007/s11517-009-0561-x. Epub 2009 Dec 17.