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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2022 10th International Conference on Information and Education Technology, ICIET 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages425-430
Number of pages6
ISBN (Electronic)9781665480482
DOIs
StatePublished - 2022
Event10th International Conference on Information and Education Technology, ICIET 2022 - Matsue, Japan
Duration: 9 Apr 202211 Apr 2022

Publication series

Name2022 10th International Conference on Information and Education Technology, ICIET 2022

Conference

Conference10th International Conference on Information and Education Technology, ICIET 2022
Country/TerritoryJapan
CityMatsue
Period9/04/2211/04/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • adolescents
  • bone weakness
  • data mining
  • detection

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