Literature DB >> 19163874

Analysis of significant factors for dengue infection prognosis using the self organizing map.

Tarig Faisal1, Fatimah Ibrahim, Mohd Nasir Taib.   

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.

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Year:  2008        PMID: 19163874     DOI: 10.1109/IEMBS.2008.4650371

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

Review 1.  The application of biomedical engineering techniques to the diagnosis and management of tropical diseases: a review.

Authors:  Fatimah Ibrahim; Tzer Hwai Gilbert Thio; Tarig Faisal; Michael Neuman
Journal:  Sensors (Basel)       Date:  2015-03-23       Impact factor: 3.576

2.  Bioimpedance Vector Analysis in Diagnosing Severe and Non-Severe Dengue Patients.

Authors:  Sami F Khalil; Mas S Mohktar; Fatimah Ibrahim
Journal:  Sensors (Basel)       Date:  2016-06-18       Impact factor: 3.576

  2 in total

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