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

doi:10.1007/978-3-030-00350-0_15

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/Inform › Chapter › Research

4 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 language	English (US)
Title of host publication	Applied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Proceedings
Editors	Eduyn Ramiro Lopez-Santana, Juan Carlos Figueroa-Garcia, Jose Ignacio Rodriguez-Molano
Publisher	Springer
Pages	171-181
Number of pages	11
ISBN (Print)	9783030003494
DOIs	https://doi.org/10.1007/978-3-030-00350-0_15
State	Published - 2018
Externally published	Yes
Event	5th Workshop on Engineering Applications, WEA 2018 - Medellín, Colombia Duration: Oct 17 2018 → Oct 19 2018

Publication series

Name	Communications in Computer and Information Science
Volume	915
ISSN (Print)	1865-0929

Conference

Conference	5th Workshop on Engineering Applications, WEA 2018
Country/Territory	Colombia
City	Medellín
Period	10/17/18 → 10/19/18

All Science Journal Classification (ASJC) codes

General Computer Science
General Mathematics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-00350-0_15

Cite this

Orjuela-Cañón, A. D., Posada-Quintero, H. F., Valencia, C. H., & Mendoza, L. (2018). On the use of neuroevolutive methods as support tools for diagnosing appendicitis and tuberculosis. In E. R. Lopez-Santana, J. C. Figueroa-Garcia, & J. I. Rodriguez-Molano (Eds.), Applied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Proceedings (pp. 171-181). (Communications in Computer and Information Science; Vol. 915). Springer. https://doi.org/10.1007/978-3-030-00350-0_15

Orjuela-Cañón, Alvaro David ; Posada-Quintero, Hugo Fernando ; Valencia, Cesar Hernando et al. / On the use of neuroevolutive methods as support tools for diagnosing appendicitis and tuberculosis. Applied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Proceedings. editor / Eduyn Ramiro Lopez-Santana ; Juan Carlos Figueroa-Garcia ; Jose Ignacio Rodriguez-Molano. Springer, 2018. pp. 171-181 (Communications in Computer and Information Science).

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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.",

author = "Orjuela-Ca{\~n}{\'o}n, {Alvaro David} and Posada-Quintero, {Hugo Fernando} and Valencia, {Cesar Hernando} and Leonardo Mendoza",

note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 5th Workshop on Engineering Applications, WEA 2018 ; Conference date: 17-10-2018 Through 19-10-2018",

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Orjuela-Cañón, AD, Posada-Quintero, HF, Valencia, CH & Mendoza, L 2018, On the use of neuroevolutive methods as support tools for diagnosing appendicitis and tuberculosis. in ER Lopez-Santana, JC Figueroa-Garcia & JI Rodriguez-Molano (eds), Applied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Proceedings. Communications in Computer and Information Science, vol. 915, Springer, pp. 171-181, 5th Workshop on Engineering Applications, WEA 2018, Medellín, Colombia, 10/17/18. https://doi.org/10.1007/978-3-030-00350-0_15

On the use of neuroevolutive methods as support tools for diagnosing appendicitis and tuberculosis. / Orjuela-Cañón, Alvaro David; Posada-Quintero, Hugo Fernando; Valencia, Cesar Hernando et al.
Applied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Proceedings. ed. / Eduyn Ramiro Lopez-Santana; Juan Carlos Figueroa-Garcia; Jose Ignacio Rodriguez-Molano. Springer, 2018. p. 171-181 (Communications in Computer and Information Science; Vol. 915).

Research output: Chapter in Book/Inform › Chapter › Research

TY - CHAP

T1 - On the use of neuroevolutive methods as support tools for diagnosing appendicitis and tuberculosis

AU - Orjuela-Cañón, Alvaro David

AU - Posada-Quintero, Hugo Fernando

AU - Valencia, Cesar Hernando

AU - Mendoza, Leonardo

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

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U2 - 10.1007/978-3-030-00350-0_15

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M3 - Chapter

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T3 - Communications in Computer and Information Science

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EP - 181

BT - Applied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Proceedings

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A2 - Figueroa-Garcia, Juan Carlos

A2 - Rodriguez-Molano, Jose Ignacio

PB - Springer

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Y2 - 17 October 2018 through 19 October 2018

ER -

Orjuela-Cañón AD, Posada-Quintero HF, Valencia CH, Mendoza L. On the use of neuroevolutive methods as support tools for diagnosing appendicitis and tuberculosis. In Lopez-Santana ER, Figueroa-Garcia JC, Rodriguez-Molano JI, editors, Applied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Proceedings. Springer. 2018. p. 171-181. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-00350-0_15

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

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

UN SDGs

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