[PDF][PDF] RDET stacking classifier: a novel machine learning based approach for stroke prediction using imbalance data
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 …
cells die if blood is not supplied to them, resulting in body disability. The timely identification …
The most efficient machine learning algorithms in stroke prediction: A systematic review
Abstrac Background and Aims Stroke is one of the most common causes of death
worldwide, leading to numerous complications and significantly diminishing the quality of life …
worldwide, leading to numerous complications and significantly diminishing the quality of life …
An Undersampling Method Approaching the Ideal Classification Boundary for Imbalance Problems
W Zhou, C Liu, P Yuan, L Jiang - Applied Sciences, 2024 - mdpi.com
Data imbalance is a common problem in most practical classification applications of
machine learning, and it may lead to classification results that are biased towards the …
machine learning, and it may lead to classification results that are biased towards the …
Predictive modelling and identification of key risk factors for stroke using machine learning
Strokes are a leading global cause of mortality, underscoring the need for early detection
and prevention strategies. However, addressing hidden risk factors and achieving accurate …
and prevention strategies. However, addressing hidden risk factors and achieving accurate …
Advancing ischemic stroke diagnosis and clinical outcome prediction using improved ensemble techniques in DSC-PWI radiomics
Ischemic stroke is a leading global cause of death and disability and is expected to rise in
the future. The present diagnostic techniques, like CT and MRI, have some limitations in …
the future. The present diagnostic techniques, like CT and MRI, have some limitations in …
Automated approach to predict cerebral stroke based on fuzzy inference and convolutional neural network
Cerebral stroke indicates a neurological impairment caused by a localized injury to the
central nervous system resulting from a diminished blood supply to the brain. Today, stroke …
central nervous system resulting from a diminished blood supply to the brain. Today, stroke …
A Classification of Appendicitis Disease in Children Using SVM with KNN Imputation and SMOTE Approach
This study evaluates the effect of SMOTE and KNN imputation techniques on the
performance of SVM classification models on a nearly balanced dataset. The results show …
performance of SVM classification models on a nearly balanced dataset. The results show …
A Comparative Study: Application of Principal Component Analysis and Recursive Feature Elimination in Machine Learning for Stroke Prediction
Stroke is a disease that occurs in the brain and can cause both vocal and global brain
dysfunction. Stroke research mainly aims to predict risk and mortality. Machine learning can …
dysfunction. Stroke research mainly aims to predict risk and mortality. Machine learning can …
Leveraging Ensemble Models and Follow-up Data for Accurate Prediction of mRS Scores from Radiomic Features of DSC-PWI Images
Predicting long-term clinical outcomes based on the early DSC PWI MRI scan is valuable for
prognostication, resource management, clinical trials, and patient expectations. Current …
prognostication, resource management, clinical trials, and patient expectations. Current …
Enhanced Machine Learning Algorithm to Predict Brain Stroke
T Kavitha, S Hemalatha, P Elakkiya… - 2024 International …, 2024 - ieeexplore.ieee.org
A stroke is a condition when there is insufficient blood flow to the brain, which ultimately
leads to cell death. It is nowadays a leading cause of dying all over the world. An analysis of …
leads to cell death. It is nowadays a leading cause of dying all over the world. An analysis of …