Predicción de riesgo de osteoporosis en escolares utilizando minería de datos

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

doi:10.18687/LACCEI2019.1.1.408

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

Departamento Académico de Ingeniería de Sistemas e Informática

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 contribution	Predicting the risk of osteoporosis in schoolchildren using data mining
Original language	Spanish
Title of host publication	17th LACCEI International Multi-Conference for Engineering, Education, and Technology
Subtitle of host publication	"Industry, Innovation, and Infrastructure for Sustainable Cities and Communities", LACCEI 2019
Publisher	Latin American and Caribbean Consortium of Engineering Institutions
ISBN (Electronic)	9780999344361
DOIs	https://doi.org/10.18687/LACCEI2019.1.1.408
State	Published - 2019
Event	17th LACCEI International Multi-Conference for Engineering, Education, and Technology, LACCEI 2019 - Montego Bay, Jamaica Duration: 24 Jul 2019 → 26 Jul 2019

Publication series

Name	Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volume	2019-July
ISSN (Electronic)	2414-6390

Conference

Conference	17th LACCEI International Multi-Conference for Engineering, Education, and Technology, LACCEI 2019
Country/Territory	Jamaica
City	Montego Bay
Period	24/07/19 → 26/07/19

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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10.18687/LACCEI2019.1.1.408

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Incalla-Nina, C., Portilla-Arias, R., Ccama-Yana, D., Calluchi-Arocutipa, B., & Sulla Torres, J. A. (2019). Predicción de riesgo de osteoporosis en escolares utilizando minería de datos. In 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: "Industry, Innovation, and Infrastructure for Sustainable Cities and Communities", LACCEI 2019 (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2019-July). Latin American and Caribbean Consortium of Engineering Institutions. https://doi.org/10.18687/LACCEI2019.1.1.408

Incalla-Nina, Christian ; Portilla-Arias, Renzo ; Ccama-Yana, Doris et al. / Predicción de riesgo de osteoporosis en escolares utilizando minería de datos. 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: "Industry, Innovation, and Infrastructure for Sustainable Cities and Communities", LACCEI 2019. Latin American and Caribbean Consortium of Engineering Institutions, 2019. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology).

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title = "Predicci{\'o}n de riesgo de osteoporosis en escolares utilizando miner{\'i}a de datos",

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.",

keywords = "Bone mineral density, Data Mining, Osteoporosis, Prediction",

author = "Christian Incalla-Nina and Renzo Portilla-Arias and Doris Ccama-Yana and Britsel Calluchi-Arocutipa and {Sulla Torres}, {Jose Alfredo}",

year = "2019",

doi = "10.18687/LACCEI2019.1.1.408",

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Incalla-Nina, C, Portilla-Arias, R, Ccama-Yana, D, Calluchi-Arocutipa, B & Sulla Torres, JA 2019, Predicción de riesgo de osteoporosis en escolares utilizando minería de datos. in 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: "Industry, Innovation, and Infrastructure for Sustainable Cities and Communities", LACCEI 2019. Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, vol. 2019-July, Latin American and Caribbean Consortium of Engineering Institutions, 17th LACCEI International Multi-Conference for Engineering, Education, and Technology, LACCEI 2019, Montego Bay, Jamaica, 24/07/19. https://doi.org/10.18687/LACCEI2019.1.1.408

Predicción de riesgo de osteoporosis en escolares utilizando minería de datos. / Incalla-Nina, Christian; Portilla-Arias, Renzo; Ccama-Yana, Doris et al.

17th LACCEI International Multi-Conference for Engineering, Education, and Technology: "Industry, Innovation, and Infrastructure for Sustainable Cities and Communities", LACCEI 2019. Latin American and Caribbean Consortium of Engineering Institutions, 2019. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Predicción de riesgo de osteoporosis en escolares utilizando minería de datos

AU - Incalla-Nina, Christian

AU - Portilla-Arias, Renzo

AU - Ccama-Yana, Doris

AU - Calluchi-Arocutipa, Britsel

AU - Sulla Torres, Jose Alfredo

PY - 2019

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N2 - 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.

AB - 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.

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Incalla-Nina C, Portilla-Arias R, Ccama-Yana D, Calluchi-Arocutipa B, Sulla Torres JA. Predicción de riesgo de osteoporosis en escolares utilizando minería de datos. In 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: "Industry, Innovation, and Infrastructure for Sustainable Cities and Communities", LACCEI 2019. Latin American and Caribbean Consortium of Engineering Institutions. 2019. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology). doi: 10.18687/LACCEI2019.1.1.408

Predicción de riesgo de osteoporosis en escolares utilizando minería de datos

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