[HTML][HTML] Radiographic Biomarkers for Knee Osteoarthritis: A Narrative Review

A Almhdie-Imjabbar, H Toumi, E Lespessailles - Life, 2023 - mdpi.com
Conventional radiography remains the most widely available imaging modality in clinical
practice in knee osteoarthritis. Recent research has been carried out to develop novel …

Automated stroke prediction using machine learning: An explainable and exploratory study with a web application for early intervention

K Mridha, S Ghimire, J Shin, A Aran, MM Uddin… - IEEE …, 2023 - ieeexplore.ieee.org
Stroke is a dangerous medical disorder that occurs when blood flow to the brain is disrupted,
resulting in neurological impairment. It is a big worldwide threat with serious health and …

A review on predicting brain stroke using machine learning

S Mushtaq, KS Saini - 2023 10th International Conference on …, 2023 - ieeexplore.ieee.org
At present, healthcare is one of the biggest concerns in the world. Brain Stroke is the leading
cause of death worldwide. Prediction and detection of the occurrences of a brain stroke at …

Prediction of brain stroke using machine learning algorithms and deep neural network techniques

S Rahman, M Hasan, AK Sarkar - European Journal of Electrical …, 2023 - ejece.org
The brain is the human body's primary upper organ. Stroke is a medical disorder in which
the blood arteries in the brain are ruptured, causing damage to the brain. When the supply of …

[HTML][HTML] Textual feature extraction using ant colony optimization for hate speech classification

S Gite, S Patil, D Dharrao, M Yadav, S Basak… - Big data and cognitive …, 2023 - mdpi.com
Feature selection and feature extraction have always been of utmost importance owing to
their capability to remove redundant and irrelevant features, reduce the vector space size …

[PDF][PDF] Prediction of stroke disease using deep CNN based approach

M Ashrafuzzaman, S Saha, K Nur - Journal of Advances in …, 2022 - researchgate.net
Stroke is a medical condition that occurs when there is any blockage or bleeding of the
blood vessels either interrupts or reduces the supply of blood to the brain resulting in brain …

Test input prioritization for Machine Learning Classifiers

X Dang, Y Li, M Papadakis, J Klein… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Machine learning has achieved remarkable success across diverse domains. Nevertheless,
concerns about interpretability in black-box models, especially within Deep Neural Networks …

[HTML][HTML] Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence

K Chadaga, N Sampathila, S Prabhu, R Chadaga - Information, 2023 - mdpi.com
Stroke occurs when a brain's blood artery ruptures or the brain's blood supply is interrupted.
Due to rupture or obstruction, the brain's tissues cannot receive enough blood and oxygen …

[PDF][PDF] RDET stacking classifier: a novel machine learning based approach for stroke prediction using imbalance data

A Rehman, T Alam, M Mujahid, FS Alamri… - PeerJ Computer …, 2023 - peerj.com
The main cause of stroke is the unexpected blockage of blood flow to the brain. The brain
cells die if blood is not supplied to them, resulting in body disability. The timely identification …

An innovative machine learning pipeline for stroke prediction on imbalanced data

MO Ullah, SA Raju, MI Nazir, A Akter… - … on Information and …, 2023 - ieeexplore.ieee.org
Stroke requires immediate medical care. The WHO states stroke is the leading cause of
death and disability world-wide. Thus, early stroke detection is essential. Few studies …