Predicción de riesgo de osteoporosis en escolares utilizando minería de datos

Translated title of the contribution: Predicting the risk of osteoporosis in schoolchildren using data mining

Christian Incalla-Nina, Renzo Portilla-Arias, Doris Ccama-Yana, Britsel Calluchi-Arocutipa, Jose Alfredo Sulla Torres

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Low bone mineral density and loss of bone tissue can result in weak and fragile bones that are characteristic of osteoporosis disease. This common public health problem has no symptoms. Osteoporosis is a disease considered as the global epidemic of the 21st century. This disease is usually pronounced in children and adolescents as osteopenia. The following article aims to classify and detect bone mineral density in children and adolescents from a range of 6 to 11 years of age by pre-processing data with the KDD process and using association rules as a classification technique. Subsequently, the results are compared with the database of a real densitometer. The results show the statistics of children who have osteoporosis and osteopenia.

Translated title of the contributionPredicting the risk of osteoporosis in schoolchildren using data mining
Original languageSpanish
Title of host publication17th LACCEI International Multi-Conference for Engineering, Education, and Technology
Subtitle of host publication"Industry, Innovation, and Infrastructure for Sustainable Cities and Communities", LACCEI 2019
PublisherLatin American and Caribbean Consortium of Engineering Institutions
ISBN (Electronic)9780999344361
DOIs
StatePublished - 2019
Event17th LACCEI International Multi-Conference for Engineering, Education, and Technology, LACCEI 2019 - Montego Bay, Jamaica
Duration: 24 Jul 201926 Jul 2019

Publication series

NameProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volume2019-July
ISSN (Electronic)2414-6390

Conference

Conference17th LACCEI International Multi-Conference for Engineering, Education, and Technology, LACCEI 2019
Country/TerritoryJamaica
CityMontego Bay
Period24/07/1926/07/19

Bibliographical note

Funding Information:
A la Universidad Nacional de San Agust?n de Arequipa, que ha financiado el proyecto con n?mero de contrato 42-2017-UNSA otorgado para la realizaci?n del art?culo.

Publisher Copyright:
© 2019 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.

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