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Predicción de riesgo de osteoporosis en escolares utilizando minería de datos | ||
| Published in: | Industry, Innovation, and Infrastructure for Sustainable Cities and Communities: Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education and Technology |  |
| Date of Conference: | July 24-26, 2019 | |
| Location of Conference: | Montego Bay, Jamaica | |
| Authors: | Christian Incalla-Nina (Universidad Nacional de San Agustín de Arequipa, PE) Renzo Portilla-Arias (Universidad Nacional de San Agustín de Arequipa, PE) Doris Ccama-Yana (Universidad Nacional de San Agustín de Arequipa, PE) Britsel Calluchi-Arocutipa (Universidad Nacional de San Agustín de Arequipa, PE) Jose Sulla-Torres (Universidad Nacional de San Agustín de Arequipa, PE) (Universidad Nacional de San Agustín de Arequipa) | |
| Full Paper: | #408 | |
Abstract:Low bone mineral density (BMD) 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 16 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. | ||