title: Analysis of significant factors for dengue infection prognosis using the self organizing map.
abstract: This study presents a new approach to determine the significant prognosis factors in dengue patients utilizing the self-organizing map (SOM). SOM was used to visualize and determine the significant factors that can differentiate between the dengue patients and the healthy subjects. Bioimpedance analysis (BIA) parameters and symptoms/signs obtained from the 210 dengue patients during their hospitalization were used in this study. Database comprised of 329 sample (210 dengue patients and 119 healthy subjects) were used in the study. Accordingly, two maps were constructed. A total of 35 predictors (17 BIA parameters, 18 symptoms/signs) were investigated on the day of defervescence of fever. The first map was constructed based on BIA parameters while the second map utilized the symptoms and signs. The visualized results indicated that, the significant BIA prognosis factors for differentiating the dengue patients from the healthy subjects are reactance, intracellular water, ratio of the extracellular water and intracellular water, and ratio of the extracellular mass and body cell mass.
authors.affiliation: Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia.
authors.forename: Tarig
authors.initials: T
authors.lastname: Faisal
authors.forename: Fatimah
authors.initials: F
authors.lastname: Ibrahim
authors.forename: Mohd Nasir
authors.initials: MN
authors.lastname: Taib
mesh_terms: D000465:Algorithms; D020000:Decision Support Systems, Clinical; D003715:Dengue / Q000175:diagnosis* / Q000453:epidemiology*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D008296:Malaysia / Q000453:epidemiology; D016016:Proportional Hazards Models; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors