Osteoarthritis disease prediction based on random forest

Ulfah Aprilliani, Zuherman Rustam

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

7 Citations (Scopus)

Abstract

Osteoarthritis is a disease of knee joint, indicated from the biochemical changes and thinning of the knee joint cartilage, which can be seen using T2Map MRI and Density-weighted Protons sequence, these tools detect the thickness changes that occur in the cartilage layes which can identify the presence of osteoarthritis and its severity. However, the immediacy of the result of these tools, whether the patient has osteoarthritis or not, is quite low. This paper presents the classification of osteoarthritis disease into three classes of severity using the random forest method. This model can be used to predict the accuracy of osteoarthritis data by 86,96% in diagnosing the disease. The data of 33 patients with osteoarthritis in Cipto Mangunkusumo National Hospital of Indonesia were used.

Original languageEnglish
Title of host publication2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages237-240
Number of pages4
ISBN (Electronic)9781728101354
DOIs
Publication statusPublished - 17 Jan 2019
Event10th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018 - Yogyakarta, Indonesia
Duration: 27 Oct 201828 Oct 2018

Publication series

Name2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018

Conference

Conference10th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018
CountryIndonesia
CityYogyakarta
Period27/10/1828/10/18

Keywords

  • Classification
  • Features
  • Osteoarthritis
  • Random forest

Fingerprint Dive into the research topics of 'Osteoarthritis disease prediction based on random forest'. Together they form a unique fingerprint.

  • Cite this

    Aprilliani, U., & Rustam, Z. (2019). Osteoarthritis disease prediction based on random forest. In 2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018 (pp. 237-240). [8618166] (2018 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACSIS.2018.8618166