Analysis of significant factors for dengue infection prognosis using the self organizing map
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 anal...
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my.um.eprints.92582017-11-01T05:43:39Z http://eprints.um.edu.my/9258/ Analysis of significant factors for dengue infection prognosis using the self organizing map Faisal, T. Ibrahim, F. Taib, M.N. T Technology (General) TA Engineering (General). Civil engineering (General) 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. 2008 Article PeerReviewed application/pdf en http://eprints.um.edu.my/9258/1/Analysis_of_significant_factors_for_dengue_infection_prognosis_using_the_self_organizing_map.pdf Faisal, T. and Ibrahim, F. and Taib, M.N. (2008) Analysis of significant factors for dengue infection prognosis using the self organizing map. Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2008. pp. 5140-5143. ISSN 1557170X http://www.scopus.com/inward/record.url?eid=2-s2.0-65549106073&partnerID=40&md5=b4251fe4c260a48574311f2f900d705f http://ieeexplore.ieee.org/xpls/absall.jsp?arnumber=4650371 |
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T Technology (General) TA Engineering (General). Civil engineering (General) Faisal, T. Ibrahim, F. Taib, M.N. Analysis of significant factors for dengue infection prognosis using the self organizing map |
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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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Article |
author |
Faisal, T. Ibrahim, F. Taib, M.N. |
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Faisal, T. Ibrahim, F. Taib, M.N. |
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Faisal, T. |
title |
Analysis of significant factors for dengue infection prognosis using the self organizing map |
title_short |
Analysis of significant factors for dengue infection prognosis using the self organizing map |
title_full |
Analysis of significant factors for dengue infection prognosis using the self organizing map |
title_fullStr |
Analysis of significant factors for dengue infection prognosis using the self organizing map |
title_full_unstemmed |
Analysis of significant factors for dengue infection prognosis using the self organizing map |
title_sort |
analysis of significant factors for dengue infection prognosis using the self organizing map |
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2008 |
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http://eprints.um.edu.my/9258/1/Analysis_of_significant_factors_for_dengue_infection_prognosis_using_the_self_organizing_map.pdf http://eprints.um.edu.my/9258/ http://www.scopus.com/inward/record.url?eid=2-s2.0-65549106073&partnerID=40&md5=b4251fe4c260a48574311f2f900d705f http://ieeexplore.ieee.org/xpls/absall.jsp?arnumber=4650371 |
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