Data mining for the diagnosis of type 2 diabetes

Marcano Cedeño, Alexis Enrique and Andina de la Fuente, Diego (2012). Data mining for the diagnosis of type 2 diabetes. In: "World Automation Congress (WAC), 2012", 24/06/2012 - 28/06/2012, Puerto Vallarta, Mexico. ISBN 978-1-4673-4497-5. pp. 1-6.

Description

Title: Data mining for the diagnosis of type 2 diabetes
Author/s:
  • Marcano Cedeño, Alexis Enrique
  • Andina de la Fuente, Diego
Item Type: Presentation at Congress or Conference (Article)
Event Title: World Automation Congress (WAC), 2012
Event Dates: 24/06/2012 - 28/06/2012
Event Location: Puerto Vallarta, Mexico
Title of Book: World Automation Congress (WAC), 2012
Date: June 2012
ISBN: 978-1-4673-4497-5
Subjects:
Freetext Keywords: ANNs, Artificial Metaplasticity, Data Mining, De­ cision trees, Diabetes
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 19975
DC Identifier: http://oa.upm.es/19975/
OAI Identifier: oai:oa.upm.es:19975
Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6320989
Deposited by: Memoria Investigacion
Deposited on: 25 Sep 2013 18:42
Last Modified: 21 Apr 2016 22:03
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