SciELO - Scientific Electronic Library Online

 
 issue60Virtual laboratory for simulation and learning of cardiovascular system function in BME studiesA ripple-mitigating pre-amplifier based on interleaved DC-DC boost converters for efficiency improvement author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Revista Facultad de Ingeniería Universidad de Antioquia

Print version ISSN 0120-6230On-line version ISSN 2422-2844

Abstract

CUADRADO RODRIGUEZ, Santiago et al. Sistema experto basado en casos para el diagnóstico de la hipertensión arterial. Rev.fac.ing.univ. Antioquia [online]. 2011, n.60, pp.202-213. ISSN 0120-6230.

This paper describes a case based expert system for hypertension diagnosis in Santa Clara city, Cuba, carried out as part of an investigation to know the incidence of the disease in this population. The studied population's sample was formed by 455 men and 394 women, with ages between 18 and 78 years. The cases were classified in three groups: normal (people with normal blood pressure), with prehypertension (people that has risk to suffer hypertension) and people with hypertension. A statistical process was made with this sample in which multivariate techniques as Discriminant Analysis and Logistic Regression were used. The results of these techniques and the application of the Fuller's Triangle Method were used in the system for ranking the hypertension risk factors and for obtain their importance grade (weigh). CHAID technique allowed reduces the comparisons of the cases making more efficient this process. With the application of the analysis of variance (ANOVA) and TwoStep Cluster Analysis the features comparison function for continuous variables was obtained. With all this information the likeness function was build to compare the new case with the rest of cases of the case base. The adaptation of the solution of the most similar cases was carried out with the application of nearest k-neighbors algorithm. Finally the system was validated and was checked an effectiveness of 96%.

Keywords : case based expert system; hypertension; statistics techniques.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License