A METHODOLOGY TO CLASSIFY PATIENTS IN THE MEDICINE'S CONSUMPTIONS APPLYNG DATAMART AND DATAMINING A HOSPITAL

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The present work, provides a method for the analysis of data in the way with which the medicines in a Peruvian hospital are consumed, in order to identify some nonobservable realities or characteristics which would produce shortage of supplies or insaTIsfaction of patients, serving as a tool for the...

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Detalles Bibliográficos
Autores: Tapia Rivas, Ivan, Ruiz Rivera, María, Ruiz Lizama, Edgar
Formato: artículo
Fecha de Publicación:2007
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/6355
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/6355
Nivel de acceso:acceso abierto
Materia:Datamining
business intelligence
K-Means algorithm
classification algorithm.
Minería de datos
inteligencia de negocios
algoritmo K-Means
algoritmo de clasificación.
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spelling A METHODOLOGY TO CLASSIFY PATIENTS IN THE MEDICINE'S CONSUMPTIONS APPLYNG DATAMART AND DATAMINING A HOSPITALUna metodología para sectorizar pacientes en el consumo de medicamentos aplicando Datamart y Datamining en un hospitalTapia Rivas, IvanRuiz Rivera, MaríaRuiz Lizama, EdgarDataminingbusiness intelligenceK-Means algorithmclassification algorithm.Minería de datosinteligencia de negociosalgoritmo K-Meansalgoritmo de clasificación.The present work, provides a method for the analysis of data in the way with which the medicines in a Peruvian hospital are consumed, in order to identify some nonobservable realities or characteristics which would produce shortage of supplies or insaTIsfaction of patients, serving as a tool for the decision making on the medicine supplying in the hospital. Here techniques of datamart are complemented, of extraction and load of data, as well as algorithms of mininig suchs K-means to classify the mentioned medicine consumptions. Finally there are graphs with some extracted results from the tests.El presente trabajo, propone un método para el análisis de datos en la forma con que se consumen los medicamentos en un hospital peruano a fin de poder identificar algunas realidades o características no observables que producirán desabastecimiento o insatisfacción del paciente, el cual servirá como una herramienta para la toma de decisión sobre el abastecimiento de medicamentos en el hospital. Aquí se complementan técnicas de datamart, de extracción y carga de datos, asín como algoritmos de minería de datos como K-means para sectorizar los consumos de medicamentos mencionados. finalmente se muestran gráficas con algunos resultados extraídos de las pruebas.Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos2007-07-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/635510.15381/idata.v10i1.6355Industrial Data; Vol. 10 No. 1 (2007); 093-100Industrial Data; Vol. 10 Núm. 1 (2007); 093-1001810-99931560-9146reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/6355/5569Derechos de autor 2007 Ivan Tapia Rivas, María Ruiz Rivera, Edgar Ruiz Lizamahttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/63552020-06-13T16:43:13Z
dc.title.none.fl_str_mv A METHODOLOGY TO CLASSIFY PATIENTS IN THE MEDICINE'S CONSUMPTIONS APPLYNG DATAMART AND DATAMINING A HOSPITAL
Una metodología para sectorizar pacientes en el consumo de medicamentos aplicando Datamart y Datamining en un hospital
title A METHODOLOGY TO CLASSIFY PATIENTS IN THE MEDICINE'S CONSUMPTIONS APPLYNG DATAMART AND DATAMINING A HOSPITAL
spellingShingle A METHODOLOGY TO CLASSIFY PATIENTS IN THE MEDICINE'S CONSUMPTIONS APPLYNG DATAMART AND DATAMINING A HOSPITAL
Tapia Rivas, Ivan
Datamining
business intelligence
K-Means algorithm
classification algorithm.
Minería de datos
inteligencia de negocios
algoritmo K-Means
algoritmo de clasificación.
title_short A METHODOLOGY TO CLASSIFY PATIENTS IN THE MEDICINE'S CONSUMPTIONS APPLYNG DATAMART AND DATAMINING A HOSPITAL
title_full A METHODOLOGY TO CLASSIFY PATIENTS IN THE MEDICINE'S CONSUMPTIONS APPLYNG DATAMART AND DATAMINING A HOSPITAL
title_fullStr A METHODOLOGY TO CLASSIFY PATIENTS IN THE MEDICINE'S CONSUMPTIONS APPLYNG DATAMART AND DATAMINING A HOSPITAL
title_full_unstemmed A METHODOLOGY TO CLASSIFY PATIENTS IN THE MEDICINE'S CONSUMPTIONS APPLYNG DATAMART AND DATAMINING A HOSPITAL
title_sort A METHODOLOGY TO CLASSIFY PATIENTS IN THE MEDICINE'S CONSUMPTIONS APPLYNG DATAMART AND DATAMINING A HOSPITAL
dc.creator.none.fl_str_mv Tapia Rivas, Ivan
Ruiz Rivera, María
Ruiz Lizama, Edgar
author Tapia Rivas, Ivan
author_facet Tapia Rivas, Ivan
Ruiz Rivera, María
Ruiz Lizama, Edgar
author_role author
author2 Ruiz Rivera, María
Ruiz Lizama, Edgar
author2_role author
author
dc.subject.none.fl_str_mv Datamining
business intelligence
K-Means algorithm
classification algorithm.
Minería de datos
inteligencia de negocios
algoritmo K-Means
algoritmo de clasificación.
topic Datamining
business intelligence
K-Means algorithm
classification algorithm.
Minería de datos
inteligencia de negocios
algoritmo K-Means
algoritmo de clasificación.
description The present work, provides a method for the analysis of data in the way with which the medicines in a Peruvian hospital are consumed, in order to identify some nonobservable realities or characteristics which would produce shortage of supplies or insaTIsfaction of patients, serving as a tool for the decision making on the medicine supplying in the hospital. Here techniques of datamart are complemented, of extraction and load of data, as well as algorithms of mininig suchs K-means to classify the mentioned medicine consumptions. Finally there are graphs with some extracted results from the tests.
publishDate 2007
dc.date.none.fl_str_mv 2007-07-16
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/6355
10.15381/idata.v10i1.6355
url https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/6355
identifier_str_mv 10.15381/idata.v10i1.6355
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/6355/5569
dc.rights.none.fl_str_mv Derechos de autor 2007 Ivan Tapia Rivas, María Ruiz Rivera, Edgar Ruiz Lizama
https://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2007 Ivan Tapia Rivas, María Ruiz Rivera, Edgar Ruiz Lizama
https://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos
publisher.none.fl_str_mv Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos
dc.source.none.fl_str_mv Industrial Data; Vol. 10 No. 1 (2007); 093-100
Industrial Data; Vol. 10 Núm. 1 (2007); 093-100
1810-9993
1560-9146
reponame:Revistas - Universidad Nacional Mayor de San Marcos
instname:Universidad Nacional Mayor de San Marcos
instacron:UNMSM
instname_str Universidad Nacional Mayor de San Marcos
instacron_str UNMSM
institution UNMSM
reponame_str Revistas - Universidad Nacional Mayor de San Marcos
collection Revistas - Universidad Nacional Mayor de San Marcos
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 13.949927
A METHODOLOGY TO CLASSIFY PATIENTS IN THE MEDICINE'S CONSUMPTIONS APPLYNG DATAMART AND DATAMINING A HOSPITAL
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