On the use of neuroevolutive methods as support tools for diagnosing appendicitis and tuberculosis

Alvaro David Orjuela-Cañón, Hugo Fernando Posada-Quintero, Cesar Hernando Valencia, Leonardo Mendoza

Research output: Chapter in Book/ReportConference contribution

3 Scopus citations

Abstract

Artificial neural networks are being used in diagnosis support systems to detect different kind of diseases. As the design of multilayer perceptron is an open question, the present work shows a comparison between a traditional empirical way and neuroevolution method to find the best architecture to solve the disease detection problem. Tuberculosis and appendicitis databases were employed to test both proposals. Results show that neuroevolution offers a good alternative for the tuberculosis problem but there is lacks of performance in the appendicitis one.

Original languageEnglish (US)
Title of host publicationApplied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Proceedings
EditorsEduyn Ramiro Lopez-Santana, Juan Carlos Figueroa-Garcia, Jose Ignacio Rodriguez-Molano
PublisherSpringer
Pages171-181
Number of pages11
ISBN (Print)9783030003494
DOIs
StatePublished - 2018
Event5th Workshop on Engineering Applications, WEA 2018 - Medellín, Colombia
Duration: Oct 17 2018Oct 19 2018

Publication series

NameCommunications in Computer and Information Science
Volume915
ISSN (Print)1865-0929

Conference

Conference5th Workshop on Engineering Applications, WEA 2018
Country/TerritoryColombia
CityMedellín
Period10/17/1810/19/18

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Mathematics

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