Reexamination of risk criteria in dengue patients using the self-organizing map

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.

Study of hepatic involvement in children with dengue infection

“…In the present study the liver enzymes were elevated significantly in DHF and DSS as has been shown in numerous studies. [10][11][12][13][14][15][16][17][18][19] In the present study there was more than 10 fold increase in the levels of both AST and ALT in severe dengue. Other researchers have also observed similar results in dengue infection.…”

Neural network diagnostic system for dengue patients risk classification

“…Both DHF III and DHF IVare considered as DSS. Even though WHO classification criteria have been used for long time, recent studies have shown that several difficulties have been faced by the clinicians to apply these criteria [10]. Therefore, in this study the dengue patients were classified by the risk criteria proposed by Tarig et al [10].…”

“…The clinical manifestations composes of 18 symptoms and signs resented with dengue patients whereas the BIA measurements composes of 15 parameters. The samples were stratified according to the level of risk as high risk and low risk dengue patients' samples Tarig et al [10]. Therefore, our diagnostic model contains the 35 parameters as independent variables (inputs) and one output (dependent variable) which is the rick classification.…”

“…Few studies have been conducted to overcome these issues from the engineering prospective [7][8][9][10][11] F. Ibrahim et al, 2005aIbrahim et al, , 2005b [7,8] utilized the Bioelectrical Impedance Analysis (BIA) technique for monitoring and classifying the daily risk in DHF patients. The results demonstrated the capability of the reactance for classifying the risk in DHF patients.…”

“…The study achieved 90% prediction accuracy for predicting the day of defervescence of fever. Tarig et al [10] reexamined the risk criteria in dengue patients using self organized map. Three risk criteria were defined to classify the risk in dengue patients.…”