Memorias de investigación
Ponencias en congresos:
Data mining for the diagnosis of type 2 diabetes
Año:2012
Áreas de investigación
  • Ingenierías
Datos
Descripción
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.
Internacional
Si
Nombre congreso
World Automation Congress (WAC), 2012
Tipo de participación
960
Lugar del congreso
Puerto Vallarta, Mexico
Revisores
Si
ISBN o ISSN
2154-4824
DOI
Fecha inicio congreso
24/06/2012
Fecha fin congreso
28/06/2012
Desde la página
1
Hasta la página
6
Título de las actas
World Automation Congress (WAC), 2012
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones