Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Data mining for the diagnosis of type 2 diabetes
Year:2012
Research Areas
  • Engineering
Information
Abstract
Diabetes is the most common disease nowadays in all populations and in all age groups. diabetes contributing to heart disease, increases the risks of developing kidney disease, blindness, nerve damage, and blood vessel damage. Diabetes disease diagnosis via proper interpretation of the diabetes data is an important classification problem. Different techniques of artificial intelligence has been applied to diabetes problem. The purpose of this study is apply the artificial metaplasticity on multilayer perceptron (AMMLP) as a data mining (DM) technique for the diabetes disease diagnosis. The Pima Indians diabetes was used to test the proposed model AMMLP. The results obtained by AMMLP were compared with decision tree (DT), Bayesian classifier (BC) and other algorithms, recently proposed by other researchers, that were applied to the same database. The robustness of the algorithms are examined using classification accuracy, analysis of sensitivity and specificity, confusion matrix. The results obtained by AMMLP are superior to obtained by DT and BC.
International
Si
Congress
World Automation Congress (WAC), 2012
960
Place
Puerto Vallarta, Mexico
Reviewers
Si
ISBN/ISSN
2154-4824
Start Date
24/06/2012
End Date
28/06/2012
From page
1
To page
6
World Automation Congress (WAC), 2012
Participants
  • Autor: Alexis Enrique Marcano Cedeño (UPM)
  • Autor: Diego Andina De la Fuente (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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