TY - GEN
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
N1 - Publisher Copyright:
© 2019 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
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
UR - http://www.scopus.com/inward/record.url?scp=85073630800&partnerID=8YFLogxK
U2 - 10.18687/LACCEI2019.1.1.408
DO - 10.18687/LACCEI2019.1.1.408
M3 - Contribución a la conferencia
AN - SCOPUS:85073630800
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 17th LACCEI International Multi-Conference for Engineering, Education, and Technology
PB - Latin American and Caribbean Consortium of Engineering Institutions
T2 - 17th LACCEI International Multi-Conference for Engineering, Education, and Technology, LACCEI 2019
Y2 - 24 July 2019 through 26 July 2019
ER -