Expert system for the diagnosis of vertebral column diseases

Elena Acevedo; Antonio Acevedo; Federico Felipe; Pedro Aviles

doi:10.1109/CONCAPAN.2016.7942367

Expert system for the diagnosis of vertebral column diseases

Elena Acevedo, Antonio Acevedo, Federico Felipe, Pedro Aviles

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Resumen

© 2016 IEEE. Vertebral column diseases affect the carrying of the signals between brain and organs, therefore, it is important the diagnosis of these diseases. In this work, we propose an expert system that is implemented by the means of a Morphological Associative Memory. The information analyzed was a dataset that has six attributes and three classes. The expert system provides a diagnosis of vertebral column diseases; it reads the dataset and automatically finds the parameters for its best performance. The effectivity of the proposal is of 99.7% that is a competitive result when it is compared with others algorithms.

Idioma original	Inglés estadounidense
DOI	https://doi.org/10.1109/CONCAPAN.2016.7942367
Estado	Publicada - 7 jun. 2017
Evento	2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016 - Duración: 7 jun. 2017 → …

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Conferencia	2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016
Período	7/06/17 → …

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title = "Expert system for the diagnosis of vertebral column diseases",

abstract = "{\textcopyright} 2016 IEEE. Vertebral column diseases affect the carrying of the signals between brain and organs, therefore, it is important the diagnosis of these diseases. In this work, we propose an expert system that is implemented by the means of a Morphological Associative Memory. The information analyzed was a dataset that has six attributes and three classes. The expert system provides a diagnosis of vertebral column diseases; it reads the dataset and automatically finds the parameters for its best performance. The effectivity of the proposal is of 99.7% that is a competitive result when it is compared with others algorithms.",

author = "Elena Acevedo and Antonio Acevedo and Federico Felipe and Pedro Aviles",

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AB - © 2016 IEEE. Vertebral column diseases affect the carrying of the signals between brain and organs, therefore, it is important the diagnosis of these diseases. In this work, we propose an expert system that is implemented by the means of a Morphological Associative Memory. The information analyzed was a dataset that has six attributes and three classes. The expert system provides a diagnosis of vertebral column diseases; it reads the dataset and automatically finds the parameters for its best performance. The effectivity of the proposal is of 99.7% that is a competitive result when it is compared with others algorithms.

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ER -

Expert system for the diagnosis of vertebral column diseases

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