Literature DB >> 20016950

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

Tarig Faisal1, Mohd Nasir Taib, Fatimah Ibrahim.   

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.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 20016950     DOI: 10.1007/s11517-009-0561-x

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  15 in total

1.  Epidemic dengue/dengue hemorrhagic fever as a public health, social and economic problem in the 21st century.

Authors:  Duane J Gubler
Journal:  Trends Microbiol       Date:  2002-02       Impact factor: 17.079

2.  Clustering of the self-organizing map.

Authors:  J Vesanto; E Alhoniemi
Journal:  IEEE Trans Neural Netw       Date:  2000

3.  Risk factors of dengue shock syndrome in children.

Authors:  Taweewong Tantracheewathorn; Supapan Tantracheewathorn
Journal:  J Med Assoc Thai       Date:  2007-02

4.  Early clinical and laboratory indicators of acute dengue illness.

Authors:  S Kalayanarooj; D W Vaughn; S Nimmannitya; S Green; S Suntayakorn; N Kunentrasai; W Viramitrachai; S Ratanachu-eke; S Kiatpolpoj; B L Innis; A L Rothman; A Nisalak; F A Ennis
Journal:  J Infect Dis       Date:  1997-08       Impact factor: 5.226

5.  Potential effect of population and climate changes on global distribution of dengue fever: an empirical model.

Authors:  Simon Hales; Neil de Wet; John Maindonald; Alistair Woodward
Journal:  Lancet       Date:  2002-09-14       Impact factor: 79.321

6.  Clinical diagnosis and assessment of severity of confirmed dengue infections in Vietnamese children: is the world health organization classification system helpful?

Authors:  Cao Xuan Thanh Phuong; Ngo Thi Nhan; Rachel Kneen; Pham Thi Thu Thuy; Chu van Thien; Nguyen Thi Thuy Nga; Tran Thanh Thuy; Tom Solomon; Kasia Stepniewska; Bridget Wills
Journal:  Am J Trop Med Hyg       Date:  2004-02       Impact factor: 2.345

Review 7.  Dengue: the risk to developed and developing countries.

Authors:  T P Monath
Journal:  Proc Natl Acad Sci U S A       Date:  1994-03-29       Impact factor: 11.205

Review 8.  Dengue and dengue hemorrhagic fever.

Authors:  D J Gubler
Journal:  Clin Microbiol Rev       Date:  1998-07       Impact factor: 26.132

9.  Predictors of spontaneous bleeding in Dengue.

Authors:  So Shivbalan; K Anandnathan; S Balasubramanian; Manjula Datta; Edwin Amalraj
Journal:  Indian J Pediatr       Date:  2004-01       Impact factor: 5.319

10.  Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study.

Authors:  Junbai Wang; Jan Delabie; Hans Aasheim; Erlend Smeland; Ola Myklebost
Journal:  BMC Bioinformatics       Date:  2002-11-24       Impact factor: 3.169

View more
  5 in total

1.  Non-invasive diagnosis of risk in dengue patients using bioelectrical impedance analysis and artificial neural network.

Authors:  F Ibrahim; T Faisal; M I Mohamad Salim; M N Taib
Journal:  Med Biol Eng Comput       Date:  2010-08-04       Impact factor: 3.079

2.  Neural network diagnostic system for dengue patients risk classification.

Authors:  Tarig Faisal; Mohd Nasir Taib; Fatimah Ibrahim
Journal:  J Med Syst       Date:  2010-06-25       Impact factor: 4.920

Review 3.  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

4.  Patterns of Muscle-Related Risk Factors for Sarcopenia in Older Mexican Women.

Authors:  María Fernanda Carrillo-Vega; Mario Ulises Pérez-Zepeda; Guillermo Salinas-Escudero; Carmen García-Peña; Edward Daniel Reyes-Ramírez; María Claudia Espinel-Bermúdez; Sergio Sánchez-García; Lorena Parra-Rodríguez
Journal:  Int J Environ Res Public Health       Date:  2022-08-18       Impact factor: 4.614

5.  Self-Organizing Maps to Multidimensionally Characterize Physical Profiles in Older Adults.

Authors:  Lorena Parra-Rodríguez; Edward Reyes-Ramírez; José Luis Jiménez-Andrade; Humberto Carrillo-Calvet; Carmen García-Peña
Journal:  Int J Environ Res Public Health       Date:  2022-09-29       Impact factor: 4.614

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.