Diseño de un algoritmo genético para la generación de conocimiento en el diagnóstico del Síndrome Autista
Keywords:
Autism, genetic algorithmAbstract
Autism is a condition in which they are present many symptoms and signs so it is sometimes very complicated to diagnose. This paper uses a genetic algorithm to construct a partial medical knowledge from a number of findings or symptoms present in autism. These findings are internally encoded as binary chromosomes, which are evaluated by a fitness function in terms of accuracy. The best chromosomes are combined and played back on the next generation. The importance of this issue is that it is an area that has been little explored within the development in automated medical field in our country.Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2009 Yrma Cárdenas, Luis Angel Guerra Grados, David Santos Mauricio Sánchez
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
AUTHORS RETAIN THEIR RIGHTS:
a. Authors retain their trade mark rights and patent, and also on any process or procedure described in the article.
b. Authors retain their right to share, copy, distribute, perform and publicly communicate their article (eg, to place their article in an institutional repository or publish it in a book), with an acknowledgment of its initial publication in the Revista de investigación de Sistemas e Informática.
c. Authors retain theirs right to make a subsequent publication of their work, to use the article or any part thereof (eg a compilation of his papers, lecture notes, thesis, or a book), always indicating its initial publication in the Revista de investigación de Sistemas e Informática (the originator of the work, journal, volume, number and date).
