A Prediction Model to Diabetes using Artificial Metaplasticity

Marcano Cedeño, Alexis Enrique and Torres, Joaquin and Andina de la Fuente, Diego (2011). A Prediction Model to Diabetes using Artificial Metaplasticity. In: "IWINAC'11 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications", 30/05/2011 - 03/06/2011, La Palma, Islas Canarias, España. ISBN 978-3-642-21325-0. pp. 418-425. https://doi.org/10.1007/978-3-642-21326-7_45.

Description

Title: A Prediction Model to Diabetes using Artificial Metaplasticity
Author/s:
  • Marcano Cedeño, Alexis Enrique
  • Torres, Joaquin
  • Andina de la Fuente, Diego
Item Type: Presentation at Congress or Conference (Article)
Event Title: IWINAC'11 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications
Event Dates: 30/05/2011 - 03/06/2011
Event Location: La Palma, Islas Canarias, España
Title of Book: IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications
Date: 2011
ISBN: 978-3-642-21325-0
Subjects:
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. Different techniques of artificial intelligence has been applied to diabetes problem. This research proposed the artificial metaplasticity on multilayer perceptron (AMMLP) as prediction model for prediction of diabetes. The Pima Indians diabetes was used to test the proposed model AMMLP. The results obtained by AMMLP were compared with other algorithms, recently proposed by other researchers, that were applied to the same database. The best result obtained so far with the AMMLP algorithm is 89.93%

More information

Item ID: 13269
DC Identifier: http://oa.upm.es/13269/
OAI Identifier: oai:oa.upm.es:13269
DOI: 10.1007/978-3-642-21326-7_45
Deposited by: Memoria Investigacion
Deposited on: 28 Nov 2012 10:33
Last Modified: 21 Apr 2016 12:35
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