Knee osteoarthritis classification using support vector machine AdaBoost and decision tree AdaBoost

Z. Rustam, J. Pandelaki, D. A. Kusuma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Osteoarthritis is a chronic joint disease of cartilage that often occurs in elderly people. One of the joints that can be infected this disease is in the knee. Older people often underestimate painful feeling around their joint or do not realize that they have been affected by knee osteoarthritis, so the knee osteoarthritis disease becomes more chronic. According to some studies, preventive measurements from early stage are very crucial to overcome the disease. One of the preventive measurements to overcome knee osteoarthritis is to detect the current stage of the disease, so the knee osteoarthritis patient can have the right treatment. Knee osteoarthritis was detected by classify the stage of knee osteoarthritis patients by using SVMAdaBoost and DTAdaBoost. The objective in this research is to compare SVMAdaBoost and DTAdaBoost based on classification accuracy from both methods. The results showed that the classification accuracy given SVMAdaBoost is 85.714 % and DTAdaBoost is 75 %.

Original languageEnglish
Title of host publicationProceedings of the 4th International Symposium on Current Progress in Mathematics and Sciences, ISCPMS 2018
EditorsTerry Mart, Djoko Triyono, Ivandini T. Anggraningrum
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735419155
DOIs
Publication statusPublished - 4 Nov 2019
Event4th International Symposium on Current Progress in Mathematics and Sciences 2018, ISCPMS 2018 - Depok, Indonesia
Duration: 30 Oct 201831 Oct 2018

Publication series

NameAIP Conference Proceedings
Volume2168
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference4th International Symposium on Current Progress in Mathematics and Sciences 2018, ISCPMS 2018
CountryIndonesia
CityDepok
Period30/10/1831/10/18

Keywords

  • Classification accuracy
  • DTAdaboost
  • osteoarthritis
  • SVMAdaboost

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    Rustam, Z., Pandelaki, J., & Kusuma, D. A. (2019). Knee osteoarthritis classification using support vector machine AdaBoost and decision tree AdaBoost. In T. Mart, D. Triyono, & I. T. Anggraningrum (Eds.), Proceedings of the 4th International Symposium on Current Progress in Mathematics and Sciences, ISCPMS 2018 [020049] (AIP Conference Proceedings; Vol. 2168). American Institute of Physics Inc.. https://doi.org/10.1063/1.5132476