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

Producción científica: Capítulo en Libro/ReporteContribución a la conferencia

3 Citas (Scopus)

Resumen

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.

Idioma originalInglés estadounidense
Título de la publicación alojadaApplied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Proceedings
EditoresEduyn Ramiro Lopez-Santana, Juan Carlos Figueroa-Garcia, Jose Ignacio Rodriguez-Molano
EditorialSpringer
Páginas171-181
Número de páginas11
ISBN (versión impresa)9783030003494
DOI
EstadoPublicada - 2018
Publicado de forma externa
Evento5th Workshop on Engineering Applications, WEA 2018 - Medellín, Colombia
Duración: oct. 17 2018oct. 19 2018

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen915
ISSN (versión impresa)1865-0929

Conferencia

Conferencia5th Workshop on Engineering Applications, WEA 2018
País/TerritorioColombia
CiudadMedellín
Período10/17/1810/19/18

Áreas temáticas de ASJC Scopus

  • Ciencia de la Computación General
  • Matemáticas General

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