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A Prediction Model to Diabetes using Artificial Metaplasticity
Citation
Marcano Cedeño, Alexis Enrique, Torres, Joaquin and Andina de la Fuente, Diego 
ORCID: https://orcid.org/0000-0001-7036-2646
(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 |
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| Author/s: |
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| 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 |
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 |
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| DC Identifier: | https://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 |
