Stroke risk prediction with machine learning techniques
A stroke is caused when blood flow to a part of the brain is stopped abruptly. Without the
blood supply, the brain cells gradually die, and disability occurs depending on the area of …
blood supply, the brain cells gradually die, and disability occurs depending on the area of …
[PDF][PDF] Analyzing the performance of stroke prediction using ML classification algorithms
G Sailasya, GLA Kumari - International Journal of …, 2021 - pdfs.semanticscholar.org
A Stroke is a health condition that causes damage by tearing the blood vessels in the brain.
It can also occur when there is a halt in the blood flow and other nutrients to the brain …
It can also occur when there is a halt in the blood flow and other nutrients to the brain …
[HTML][HTML] A predictive analytics approach for stroke prediction using machine learning and neural networks
The negative impact of stroke in society has led to concerted efforts to improve the
management and diagnosis of stroke. With an increased synergy between technology and …
management and diagnosis of stroke. With an increased synergy between technology and …
[HTML][HTML] Analyzing the impact of feature selection on the accuracy of heart disease prediction
Heart Disease has become one of the most serious diseases that has a significant impact on
human life. It has emerged as one of the leading causes of mortality among the people …
human life. It has emerged as one of the leading causes of mortality among the people …
[HTML][HTML] Using U-Net network for efficient brain tumor segmentation in MRI images
Abstract Magnetic Resonance Imaging (MRI) is the most commonly used non-intrusive
technique for medical image acquisition. Brain tumor segmentation is the process of …
technique for medical image acquisition. Brain tumor segmentation is the process of …
Real-world data mining meets clinical practice: Research challenges and perspective
As Big Data Analysis meets healthcare applications, domain-specific challenges and
opportunities materialize in all aspects of data science. Advanced statistical methods and …
opportunities materialize in all aspects of data science. Advanced statistical methods and …
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 …
NeuroHealth guardian: A novel hybrid approach for precision brain stroke prediction and healthcare analytics
Stroke is a severe illness, that requires early stroke detection and intervention, as this would
help prevent the worsening of the condition. The research is done to solve stroke prediction …
help prevent the worsening of the condition. The research is done to solve stroke prediction …
Machine-learning techniques for detecting attacks in SDN
With the advent of Software Defined Networks (SDNs), there has been a rapid advancement
in the area of cloud computing. It is now scalable, cheaper, and easier to manage. However …
in the area of cloud computing. It is now scalable, cheaper, and easier to manage. However …
[PDF][PDF] Intelligent software-defined network for cognitive routing optimization using deep extreme learning machine approach
In recent years, the infrastructure, instruments, and resources of network systems are
becoming more complex and heterogeneous, with the rapid development of current internet …
becoming more complex and heterogeneous, with the rapid development of current internet …