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 …
A systematic review on intracranial aneurysm and hemorrhage detection using machine learning and deep learning techniques
SN Ahmed, P Prakasam - Progress in Biophysics and Molecular Biology, 2023 - Elsevier
The risk of discovering an intracranial aneurysm during the initial screening and follow-up
screening are reported as around 11%, and 7% respectively (Zuurbie et al., 2023) to these …
screening are reported as around 11%, and 7% respectively (Zuurbie et al., 2023) to these …
Performance analysis of machine learning approaches in stroke prediction
Most of strokes will occur due to an unexpected obstruction of courses by prompting both the
brain and heart. Early awareness for different warning signs of stroke can minimize the …
brain and heart. Early awareness for different warning signs of stroke can minimize the …
[HTML][HTML] A comparative analysis of machine learning classifiers for stroke prediction: A predictive analytics approach
Stroke is the third leading cause of death in the world. It is a dangerous health disorder
caused by the interruption of the blood flow to the brain, resulting in severe illness, disability …
caused by the interruption of the blood flow to the brain, resulting in severe illness, disability …
Stroke disease detection and prediction using robust learning approaches
T Tazin, MN Alam, NN Dola, MS Bari… - Journal of healthcare …, 2021 - Wiley Online Library
Stroke is a medical disorder in which the blood arteries in the brain are ruptured, causing
damage to the brain. When the supply of blood and other nutrients to the brain is interrupted …
damage to the brain. When the supply of blood and other nutrients to the brain is interrupted …
[Retracted] Prediction and Risk Assessment Models for Subarachnoid Hemorrhage: A Systematic Review on Case Studies
Subarachnoid hemorrhage (SAH) is one of the major health issues known to society and
has a higher mortality rate. The clinical factors with computed tomography (CT), magnetic …
has a higher mortality rate. The clinical factors with computed tomography (CT), magnetic …
Impact of big data on digital transformation in 5G era
One of the potential top-level goals for 5G heterogeneous networks may be intellectual and
perfect network which modifies consumer preferences in a proactive manner in addition to …
perfect network which modifies consumer preferences in a proactive manner in addition to …
[HTML][HTML] A stacking classifiers model for detecting heart irregularities and predicting Cardiovascular Disease
S Mohapatra, S Maneesha, S Mohanty, PK Patra… - Healthcare …, 2023 - Elsevier
Abstract Cardiovascular Diseases (CVDs), or heart diseases, are one of the top-ranking
causes of death worldwide. About 1 in every 4 deaths is related to heart diseases, which are …
causes of death worldwide. About 1 in every 4 deaths is related to heart diseases, which are …
CNN with machine learning approaches using ExtraTreesClassifier and MRMR feature selection techniques to detect liver diseases on cloud
Liver disease is a significant global burden on health, with about a few hundred million
people suffering from chronic liver disease (CLD), with approximately 2 million deaths each …
people suffering from chronic liver disease (CLD), with approximately 2 million deaths each …
A machine learning approach to detect the brain stroke disease
The brain, which comprises the cerebrum, cere-bellum, and brainstem and is covered by the
skull, is a very complex and intriguing organ in the human body. Stroke is the world's second …
skull, is a very complex and intriguing organ in the human body. Stroke is the world's second …