An explainable machine learning pipeline for stroke prediction on imbalanced data
Stroke is an acute neurological dysfunction attributed to a focal injury of the central nervous
system due to reduced blood flow to the brain. Nowadays, stroke is a global threat …
system due to reduced blood flow to the brain. Nowadays, stroke is a global threat …
Explainable machine learning for knee osteoarthritis diagnosis based on a novel fuzzy feature selection methodology
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 …
from the progressive loss of cartilage. Due to KOA's multifactorial nature and the poor …
Knee osteoarthritis detection and severity classification using residual neural networks on preprocessed x-ray images
One of the most common and challenging medical conditions to deal with in old-aged
people is the occurrence of knee osteoarthritis (KOA). Manual diagnosis of this disease …
people is the occurrence of knee osteoarthritis (KOA). Manual diagnosis of this disease …
Leveraging explainable machine learning to identify gait biomechanical parameters associated with anterior cruciate ligament injury
Anterior cruciate ligament (ACL) deficient and reconstructed knees display altered
biomechanics during gait. Identifying significant gait changes is important for understanding …
biomechanics during gait. Identifying significant gait changes is important for understanding …
A Review on: Deep Learning and Computer Intelligent Techniques Using X-Ray Imaging for the Early Detection of Knee Osteoarthritis
RD Kale, S Khandelwal - … , Image Processing, Network Security and Data …, 2022 - Springer
One of the most common causes of long-term impairment is knee osteoarthritis, a well-
known disabling illness that lowers mobility and quality of life. It is possible for disease …
known disabling illness that lowers mobility and quality of life. It is possible for disease …
Prediction of joint space narrowing progression in knee osteoarthritis patients
Osteoarthritis is a joint disease that commonly occurs in the knee (KOA). The continuous
increase in medical data regarding KOA has triggered researchers to incorporate artificial …
increase in medical data regarding KOA has triggered researchers to incorporate artificial …
Identifying robust risk factors for knee osteoarthritis progression: An evolutionary machine learning approach
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 …
of the osteoarthritis disease's total burden. KOA is heterogeneous in terms of rates of …
Big data in sports: A bibliometric and topic study
A Šuštaršič, M Videmšek, D Karpljuk… - … International Journal of …, 2022 - hrcak.srce.hr
Background: The development of the sports industry was impacted by the era of Big Data
due to the rapid growth of information technology. Unfortunately, that has become an …
due to the rapid growth of information technology. Unfortunately, that has become an …
[HTML][HTML] The role of bone mineral density and cartilage volume to predict knee cartilage degeneration
Knee Osteoarthritis (OA) is a highly prevalent condition affecting knee joint that causes loss
of physical function and pain. Clinical treatments are mainly focused on pain relief and …
of physical function and pain. Clinical treatments are mainly focused on pain relief and …
Machine learning‐based prediction of contralateral knee osteoarthritis development using the Osteoarthritis Initiative and the Multicenter Osteoarthritis Study dataset
JS Kim, BS Choi, SE Kim, YS Lee… - Journal of …, 2024 - Wiley Online Library
Having osteoarthritis in one knee is reported as an independent risk factor for develo**
contralateral knee osteoarthritis (KOA). However, no study has been designed to predict the …
contralateral knee osteoarthritis (KOA). However, no study has been designed to predict the …