Detection of Bone Weakness in Children and Adolescents in High Andean Zones Using Data Mining Techniques

Maria E.Farfan Choquehuanca, Jose Sulla-Torres, Vanessa M.Huanca Hilachoque

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

During the last years, a disease with a higher incidence in children and adolescents has been observed, being this the bone weakness, which can be the beginning of chronic bone diseases and future bone cancer, that is why our objective is to detect bone weakness in children and adolescents through anthropometric indicators in the high Andean areas of Peru, specifically in the city of Arequipa. Applying various data mining techniques that allow a deep analysis and prediction that these algorithms indicate after training. We worked with data from 1511 people between children and adolescents. The Knowledge Discovery in Databases methodology was used to perform data pre-training. When applying the classification algorithms, it was obtained that 2 out of 5 people among children and adolescents suffer from bone weakness, with an accuracy of 97% and an AUROC of 0.934, this value being reached by the Support Vector Machine algorithm.

Idioma originalInglés
Título de la publicación alojada2022 10th International Conference on Information and Education Technology, ICIET 2022
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas425-430
Número de páginas6
ISBN (versión digital)9781665480482
DOI
EstadoPublicada - 2022
Publicado de forma externa
Evento10th International Conference on Information and Education Technology, ICIET 2022 - Matsue, Japón
Duración: 9 abr. 202211 abr. 2022

Serie de la publicación

Nombre2022 10th International Conference on Information and Education Technology, ICIET 2022

Conferencia

Conferencia10th International Conference on Information and Education Technology, ICIET 2022
País/TerritorioJapón
CiudadMatsue
Período9/04/2211/04/22

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