ISSN 2394-5125
 
2020, Vol: 7, Issue: 19
7/19Current Issue Online First Archive Aims and Scope Abstracting & Indexing Most Accessed Articles Most Downloaded Articles Most Cited Articles
Required files to be uploaded

Copyright

Research Article 


PREDICTION OF KNEE OSTEOARTHRITIS USING MACHINE LEARNING

Tanvi Mahajan, Swati Shinde, Suyash Khachane, Saurabh Kulkarni, Prasad Borle.

Abstract
Knee Osteoarthritis is a very common musculoskeletal disease among adults, which occurs in 10% men and 13% women whose age is over 60 years [20]. It leads to physical disability and limitation over activities. Detecting this as early as possible can slow down the osteoarthritis degeneration and prevent total joint replacement surgeries. Radiologists examine the knees based on their experience and suggest remedies which may be risky for the patient. In this paper, some of the papers for OA prediction are briefly elaborated with techniques like Deep Convolutional Neural Network, Gradient Boosting Machine [1] ,YOLOv2 [6] , Joint space narrowing [9] , KL grading [23] , fourier filter etc. All of the papers utilise raw radiographic data. Each paper has its own technique for detection and produces the best results.

Key words: Knee OA; CNN; KL Grades; YOLOv2; Ordinal Loss; Fourier Filter; ICA; JSN; SVM


 
ARTICLE TOOLS
Abstract
PDF Fulltext
How to cite this articleHow to cite this article
Citation Tools
Related Records
 Articles by Tanvi Mahajan
Articles by Swati Shinde
Articles by Suyash Khachane
Articles by Saurabh Kulkarni
Articles by Prasad Borle
on Google
on Google Scholar


How to Cite this Article
Pubmed Style

Tanvi Mahajan, Swati Shinde, Suyash Khachane, Saurabh Kulkarni, Prasad Borle. PREDICTION OF KNEE OSTEOARTHRITIS USING MACHINE LEARNING. JCR. 2020; 7(19): 1152-1159. doi:10.31838/jcr.07.19.143

Web Style

Tanvi Mahajan, Swati Shinde, Suyash Khachane, Saurabh Kulkarni, Prasad Borle. PREDICTION OF KNEE OSTEOARTHRITIS USING MACHINE LEARNING. http://www.jcreview.com/?mno=104101 [Access: September 14, 2020]. doi:10.31838/jcr.07.19.143

AMA (American Medical Association) Style

Tanvi Mahajan, Swati Shinde, Suyash Khachane, Saurabh Kulkarni, Prasad Borle. PREDICTION OF KNEE OSTEOARTHRITIS USING MACHINE LEARNING. JCR. 2020; 7(19): 1152-1159. doi:10.31838/jcr.07.19.143


Vancouver/ICMJE Style

Tanvi Mahajan, Swati Shinde, Suyash Khachane, Saurabh Kulkarni, Prasad Borle. PREDICTION OF KNEE OSTEOARTHRITIS USING MACHINE LEARNING. JCR. (2020), [cited September 14, 2020]; 7(19): 1152-1159. doi:10.31838/jcr.07.19.143


Harvard Style

Tanvi Mahajan, Swati Shinde, Suyash Khachane, Saurabh Kulkarni, Prasad Borle (2020) PREDICTION OF KNEE OSTEOARTHRITIS USING MACHINE LEARNING. JCR, 7 (19), 1152-1159. doi:10.31838/jcr.07.19.143


Turabian Style

Tanvi Mahajan, Swati Shinde, Suyash Khachane, Saurabh Kulkarni, Prasad Borle. 2020. PREDICTION OF KNEE OSTEOARTHRITIS USING MACHINE LEARNING. Journal of Critical Reviews, 7 (19), 1152-1159. doi:10.31838/jcr.07.19.143


Chicago Style

Tanvi Mahajan, Swati Shinde, Suyash Khachane, Saurabh Kulkarni, Prasad Borle. "PREDICTION OF KNEE OSTEOARTHRITIS USING MACHINE LEARNING." Journal of Critical Reviews 7 (2020), 1152-1159. doi:10.31838/jcr.07.19.143


MLA (The Modern Language Association) Style

Tanvi Mahajan, Swati Shinde, Suyash Khachane, Saurabh Kulkarni, Prasad Borle. "PREDICTION OF KNEE OSTEOARTHRITIS USING MACHINE LEARNING." Journal of Critical Reviews 7.19 (2020), 1152-1159. Print. doi:10.31838/jcr.07.19.143


APA (American Psychological Association) Style

Tanvi Mahajan, Swati Shinde, Suyash Khachane, Saurabh Kulkarni, Prasad Borle (2020) PREDICTION OF KNEE OSTEOARTHRITIS USING MACHINE LEARNING. Journal of Critical Reviews, 7 (19), 1152-1159. doi:10.31838/jcr.07.19.143


Author Login Reviewer Login About Publisher Editorial Policies Peer Review Policy Editorial & Peer Review Process Author's Rights and Obligations Publication Ethics and Publication Malpractice Statement Conflict of Interest Policy Plagiarism Policy Protection of Research Participants (Statement On Human And Animal Rights) Privacy Policy Publication Ethics and Publication Malpractice Statement Corrections, Retractions & Expressions of Concern Self-Archiving Policies Statement of Informed Consent Advertising Policy Terms of Use License Information
This is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author. This is in accordance with the Budapest Open Access Initiative (BOAI) definition of open access.
The articles in Journal of Critical Reviews are open access articles licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc-sa/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
Copyright © 2020 Journal of Critical Reviews All Rights Reserved. Subject to change without notice from or liability to Journal of Critical Reviews.
For best results, please use Internet Explorer or Google Chrome

Contact Information


Journal of Critical Review,
Tower 23/4,
Jalan ampang,
Kuala Lumpur, malaysia

editorial.jcr@gmail.com