Explainable machine learning for knee osteoarthritis diagnosis based on a novel fuzzy feature selection methodology

C Kokkotis, C Ntakolia, S Moustakidis, G Giakas… - … Engineering Sciences in …, 2022 - Springer
Abstract Knee Osteoarthritis (ΚΟΑ) is a degenerative joint disease of the knee that results
from the progressive loss of cartilage. Due to KOA's multifactorial nature and the poor …

Identification of risk factors and machine learning-based prediction models for knee osteoarthritis patients

C Kokkotis, S Moustakidis, G Giakas, D Tsaopoulos - Applied Sciences, 2020 - mdpi.com
Knee Osteoarthritis (KOA) is a multifactorial disease that causes low quality of life, poor
psychology and resignation from life. Furthermore, KOA is a big data problem in terms of …

Identification of most important features based on a fuzzy ensemble technique: Evaluation on joint space narrowing progression in knee osteoarthritis patients

C Ntakolia, C Kokkotis, S Moustakidis… - International Journal of …, 2021 - Elsevier
Objective Feature selection (FS) is a crucial and at the same time challenging processing
step that aims to reduce the dimensionality of complex classification or regression problems …

Identifying robust risk factors for knee osteoarthritis progression: An evolutionary machine learning approach

C Kokkotis, S Moustakidis, V Baltzopoulos, G Giakas… - Healthcare, 2021 - mdpi.com
Knee osteoarthritis (KOA) is a multifactorial disease which is responsible for more than 80%
of the osteoarthritis disease's total burden. KOA is heterogeneous in terms of rates of …

Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective

S Moustakidis, E Christodoulou… - Quantum Machine …, 2019 - Springer
Osteoarthritis is the most common form of arthritis in the knee that comes with a variation in
symptoms' intensity, frequency and pattern. Knee OA (KOA) is often diagnosed using …

A robust framework for severity detection of knee osteoarthritis using an efficient deep learning model

R Mahum, A Irtaza, MA El-Meligy, M Sharaf… - … Journal of Pattern …, 2023 - World Scientific
With the changing lifestyle, a large population suffers from a bone disease known as an
osteoarthritis affecting the knee, spine, and hip. Therefore, timely detection and classification …

Hybrid techniques of x-ray analysis to predict knee osteoarthritis grades based on fusion features of cnn and handcrafted

A Khalid, EM Senan, K Al-Wagih, MM Ali Al-Azzam… - Diagnostics, 2023 - mdpi.com
Knee osteoarthritis (KOA) is a chronic disease that impedes movement, especially in the
elderly, affecting more than 5% of people worldwide. KOA goes through many stages, from …

Stratifying knee osteoarthritis features through multitask deep hybrid learning: data from the osteoarthritis initiative

YX Teoh, A Othmani, KW Lai, SL Goh… - Computer Methods and …, 2023 - Elsevier
Background and objective Knee osteoarthritis (OA) is a debilitating musculoskeletal disorder
that causes functional disability. Automatic knee OA diagnosis has great potential of …

The application of machine learning in early diagnosis of osteoarthritis: a narrative review

A Xuan, H Chen, T Chen, J Li, S Lu… - Therapeutic …, 2023 - journals.sagepub.com
Osteoarthritis (OA) is the commonest musculoskeletal disease worldwide, with an increasing
prevalence due to aging. It causes joint pain and disability, decreased quality of life, and a …

Identifying severity grading of knee osteoarthritis from x-ray images using an efficient mixture of deep learning and machine learning models

SM Ahmed, RJ Mstafa - Diagnostics, 2022 - mdpi.com
Recently, many diseases have negatively impacted people's lifestyles. Among these, knee
osteoarthritis (OA) has been regarded as the primary cause of activity restriction and …