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 original | Inglés estadounidense |
|---|---|
| Título de la publicación alojada | Applied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Proceedings |
| Editores | Eduyn Ramiro Lopez-Santana, Juan Carlos Figueroa-Garcia, Jose Ignacio Rodriguez-Molano |
| Editorial | Springer |
| Páginas | 171-181 |
| Número de páginas | 11 |
| ISBN (versión impresa) | 9783030003494 |
| DOI | |
| Estado | Publicada - 2018 |
| Publicado de forma externa | Sí |
| Evento | 5th Workshop on Engineering Applications, WEA 2018 - Medellín, Colombia Duración: oct. 17 2018 → oct. 19 2018 |
Serie de la publicación
| Nombre | Communications in Computer and Information Science |
|---|---|
| Volumen | 915 |
| ISSN (versión impresa) | 1865-0929 |
Conferencia
| Conferencia | 5th Workshop on Engineering Applications, WEA 2018 |
|---|---|
| País/Territorio | Colombia |
| Ciudad | Medellín |
| Período | 10/17/18 → 10/19/18 |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
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ODS 3: Salud y bienestar
Áreas temáticas de ASJC Scopus
- Ciencia de la Computación General
- Matemáticas General
Huella
Profundice en los temas de investigación de 'On the use of neuroevolutive methods as support tools for diagnosing appendicitis and tuberculosis'. En conjunto forman una huella única.Citar esto
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