Variables characterization by using computing intelligence to identify the cattle s health disorders

Detecting disorders in lab tests applied in animals is a complex process that implies linking different variables and clinical factors of the individuals. lt is why during the development of the present research, some computing intelligence techniqueswere evaluated, which contributed to the behavior...

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Autores:
Tipo de recurso:
Fecha de publicación:
2015
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
spa
OAI Identifier:
oai:repositorio.uptc.edu.co:001/10542
Acceso en línea:
https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/4112
https://repositorio.uptc.edu.co/handle/001/10542
Palabra clave:
data analysis
algorithms
animal health
FP—growth.
Análisis de datos
Algoritmos
Sanidad animal
FP-Growth
Rights
License
Copyright (c) 2015 CIENCIA Y AGRICULTURA
id REPOUPTC2_76e06f33cd35baea01f7b4a0ea1748f8
oai_identifier_str oai:repositorio.uptc.edu.co:001/10542
network_acronym_str REPOUPTC2
network_name_str RiUPTC: Repositorio Institucional UPTC
repository_id_str
spelling 2015-01-192024-07-05T18:11:23Z2024-07-05T18:11:23Zhttps://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/411210.19053/01228420.4112https://repositorio.uptc.edu.co/handle/001/10542Detecting disorders in lab tests applied in animals is a complex process that implies linking different variables and clinical factors of the individuals. lt is why during the development of the present research, some computing intelligence techniqueswere evaluated, which contributed to the behavior patterns identification of the most important disorders detected in CBC tests applied in cattle, Although several computing intelligence algorithms are used in medical troubleshooting, no record of researches in veterinary medical processes was found. Once the thorough characterization of the variables and the evaluation of the computing intelligence techniques were made, it was determined that the algorithm that best fits to the purpose of the proposed data analysis is FP-Growth.La detección de alteraciones de la salud de los animales mediante pruebas de laboratorio es un proceso complejo que implica relacionar diversas variables y factores clínicos de los individuos, por ello, en esta investigación se evaluaron técnicas de inteligencia computacional que contribuyeron a la identificación de patrones de comportamiento de las alteraciones detectadas en las pruebas de hemograma aplicadas en bovinos. Aunque diversos algoritmos de inteligencia computacional son utilizados en la solución de problemas médicos, no se encontró registro de investigaciones en procesos médicos veterinarios. Una vez hecha una minuciosa caracterización de las variables y la evaluación de las técnicas de inteligencia computacional, se determinó que el algoritmo que mejor se ajusta al propósito de análisis de datos planteado es FP-Growth.application/pdfspaspaUniversidad Pedagógica y Tecnológica de Colombiahttps://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/4112/3558Copyright (c) 2015 CIENCIA Y AGRICULTURAhttp://purl.org/coar/access_right/c_abf2Ciencia y Agricultura; Vol. 12 No. 1 (2015); 39-47Ciencia y Agricultura; Vol. 12 Núm. 1 (2015); 39-472539-0899data analysisalgorithmsanimal healthFP—growth.Análisis de datosAlgoritmosSanidad animalFP-GrowthVariables characterization by using computing intelligence to identify the cattle s health disordersCaracterización de variables utilizando inteligencia computacional para identificar alteraciones en la salud de bovinosinfo:eu-repo/semantics/articleinvestigationhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Sarmiento-Pacanchique, Edgar LeonardoTorres-Corredor, Oscar IvánBallesteros-Ricaurte, Javier AntonioCáceres-Castellanos, Gustavo001/10542oai:repositorio.uptc.edu.co:001/105422025-07-18 11:01:10.733metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co
dc.title.en-US.fl_str_mv Variables characterization by using computing intelligence to identify the cattle s health disorders
dc.title.es-ES.fl_str_mv Caracterización de variables utilizando inteligencia computacional para identificar alteraciones en la salud de bovinos
title Variables characterization by using computing intelligence to identify the cattle s health disorders
spellingShingle Variables characterization by using computing intelligence to identify the cattle s health disorders
data analysis
algorithms
animal health
FP—growth.
Análisis de datos
Algoritmos
Sanidad animal
FP-Growth
title_short Variables characterization by using computing intelligence to identify the cattle s health disorders
title_full Variables characterization by using computing intelligence to identify the cattle s health disorders
title_fullStr Variables characterization by using computing intelligence to identify the cattle s health disorders
title_full_unstemmed Variables characterization by using computing intelligence to identify the cattle s health disorders
title_sort Variables characterization by using computing intelligence to identify the cattle s health disorders
dc.subject.en-US.fl_str_mv data analysis
algorithms
animal health
FP—growth.
topic data analysis
algorithms
animal health
FP—growth.
Análisis de datos
Algoritmos
Sanidad animal
FP-Growth
dc.subject.es-ES.fl_str_mv Análisis de datos
Algoritmos
Sanidad animal
FP-Growth
description Detecting disorders in lab tests applied in animals is a complex process that implies linking different variables and clinical factors of the individuals. lt is why during the development of the present research, some computing intelligence techniqueswere evaluated, which contributed to the behavior patterns identification of the most important disorders detected in CBC tests applied in cattle, Although several computing intelligence algorithms are used in medical troubleshooting, no record of researches in veterinary medical processes was found. Once the thorough characterization of the variables and the evaluation of the computing intelligence techniques were made, it was determined that the algorithm that best fits to the purpose of the proposed data analysis is FP-Growth.
publishDate 2015
dc.date.accessioned.none.fl_str_mv 2024-07-05T18:11:23Z
dc.date.available.none.fl_str_mv 2024-07-05T18:11:23Z
dc.date.none.fl_str_mv 2015-01-19
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.en-US.fl_str_mv investigation
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.identifier.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/4112
10.19053/01228420.4112
dc.identifier.uri.none.fl_str_mv https://repositorio.uptc.edu.co/handle/001/10542
url https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/4112
https://repositorio.uptc.edu.co/handle/001/10542
identifier_str_mv 10.19053/01228420.4112
dc.language.none.fl_str_mv spa
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/4112/3558
dc.rights.en-US.fl_str_mv Copyright (c) 2015 CIENCIA Y AGRICULTURA
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Copyright (c) 2015 CIENCIA Y AGRICULTURA
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
dc.publisher.en-US.fl_str_mv Universidad Pedagógica y Tecnológica de Colombia
dc.source.en-US.fl_str_mv Ciencia y Agricultura; Vol. 12 No. 1 (2015); 39-47
dc.source.es-ES.fl_str_mv Ciencia y Agricultura; Vol. 12 Núm. 1 (2015); 39-47
dc.source.none.fl_str_mv 2539-0899
institution Universidad Pedagógica y Tecnológica de Colombia
repository.name.fl_str_mv Repositorio Institucional UPTC
repository.mail.fl_str_mv repositorio.uptc@uptc.edu.co
_version_ 1839633805809287168

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