ManageChatDiscover
425576

A Review of Machine Learning Methods for Classification of Ankylosing Spondylitis Data

Article

Last updated: 04 May 2025

OverviewSimilar Items

Subjects

-

Tags

Diagnostics

Abstract

Ankylosing Spondylitis (AS) is a chronic inflammatory disease that primarily affects the spine and sacroiliac joints. Early diagnosis and treatment are crucial to preventing irreversible damage and improving patient outcomes. Early diagnosis of AS is critical yet difficult. Delays in diagnosis are widespread, typically lasting many years after symptoms first appear, due to the non-specific nature of early indicators and a lack of understanding among healthcare practitioners. Machine learning (ML) methods have shown great potential in classifying AS data, aiding in early detection and personalized treatment strategies. This paper aims to review the current literature on ML methods for AS classification, highlighting trends, challenges, and future directions in the field. It provides researchers with the latest insights into ML applications and encourages new ideas by analyzing image processing techniques utilized by these methods. In this systematic review, 43 articles are analyzed, focusing on the application of deep learning and machine learning techniques in diagnosing Ankylosing Spondylitis. The findings emphasize that ML methods significantly enhance segmentation accuracy and improve case classification for various rheumatologic diseases, including AS.

DOI

10.21608/ejmm.2025.377615.1578

Keywords

Machine Learning, Deep learning, classification, Ankylosing spondylitis

Authors

First Name

Fadhaa

Last Name

Sameer

MiddleName

O.

Affiliation

Tropical-Biological Research Unit, College of Science, University of Baghdad, Baghdad, Iraq

Email

fadhaa.sameer@sc.uobaghdad.edu.iq

City

-

Orcid

0000-0001-8758-6195

Volume

34

Article Issue

4

Related Issue

54773

Issue Date

2025-10-01

Receive Date

2025-04-21

Publish Date

2025-10-01

Print ISSN

1110-2179

Online ISSN

2537-0979

Link

https://ejmm.journals.ekb.eg/article_425576.html

Detail API

http://journals.ekb.eg?_action=service&article_code=425576

Order

425,576

Type

Review articles

Type Code

2,039

Publication Type

Journal

Publication Title

Egyptian Journal of Medical Microbiology

Publication Link

https://ejmm.journals.ekb.eg/

MainTitle

A Review of Machine Learning Methods for Classification of Ankylosing Spondylitis Data

Details

Type

Article

Created At

04 May 2025