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

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

Departamento Académico de Ingeniería de Sistemas e Informática

Resultado de la investigación: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

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.

Título traducido de la contribución	Predicting the risk of osteoporosis in schoolchildren using data mining
Idioma original	Español
Título de la publicación alojada	17th LACCEI International Multi-Conference for Engineering, Education, and Technology
Subtítulo de la publicación alojada	"Industry, Innovation, and Infrastructure for Sustainable Cities and Communities", LACCEI 2019
Editorial	Latin American and Caribbean Consortium of Engineering Institutions
ISBN (versión digital)	9780999344361
DOI	https://doi.org/10.18687/LACCEI2019.1.1.408
Estado	Publicada - 2019
Evento	17th LACCEI International Multi-Conference for Engineering, Education, and Technology, LACCEI 2019 - Montego Bay, Jamaica Duración: 24 jul. 2019 → 26 jul. 2019

Serie de la publicación

Nombre	Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volumen	2019-July
ISSN (versión digital)	2414-6390

Conferencia

Conferencia	17th LACCEI International Multi-Conference for Engineering, Education, and Technology, LACCEI 2019
País/Territorio	Jamaica
Ciudad	Montego Bay
Período	24/07/19 → 26/07/19

Nota bibliográfica

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

Palabras clave

Bone mineral density
Data Mining
Osteoporosis
Prediction

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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. En 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. En 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).

Resultado de la investigación: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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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

Y1 - 2019

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.

KW - Bone mineral density

KW - Data Mining

KW - Osteoporosis

KW - Prediction

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T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology

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ER -

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. En 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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