[Retracted] Early Stroke Prediction Methods for Prevention of Strokes
The emergence of the latest technologies gives rise to the usage of noninvasive techniques
for assisting health‐care systems. Amongst the four major cardiovascular diseases, stroke is …
for assisting health‐care systems. Amongst the four major cardiovascular diseases, stroke is …
Deep learning-based stroke disease prediction system using real-time bio signals
The emergence of an aging society is inevitable due to the continued increases in life
expectancy and decreases in birth rate. These social changes require new smart healthcare …
expectancy and decreases in birth rate. These social changes require new smart healthcare …
A body area network approach for stroke-related disease diagnosis using artificial intelligence with deep learning techniques
Stroke is the second largest disease after heart disease that leads to death. Stroke-related
diseases need immediate attention from health care experts. With rapid growth and …
diseases need immediate attention from health care experts. With rapid growth and …
MFG-E8 alleviates oxygen-glucose deprivation-induced neuronal cell apoptosis by STAT3 regulating the selective polarization of microglia
YY Fang, JH Zhang - International Journal of Neuroscience, 2021 - Taylor & Francis
Background: Ischemic stroke is a complex pathological process, involving inflammatory
reaction, energy metabolism disorder, free radical injury, cell apoptosis and other aspects …
reaction, energy metabolism disorder, free radical injury, cell apoptosis and other aspects …
Detection of ischemic stroke tissue fate from the MRI images using a deep learning approach
NS Alotaibi, AS Alotaibi, M Eliazer… - Mobile Information …, 2022 - Wiley Online Library
The ability to determine infarction thickness using magnetic resonance perfusion modulated
imaging (PWI) should assist physicians to decide how vigorously to treat severe stroke …
imaging (PWI) should assist physicians to decide how vigorously to treat severe stroke …
Ischemic stroke prediction by exploring sleep related features
Ischemic stroke is one of the typical chronic diseases caused by the degeneration of the
neural system, which usually leads to great damages to human beings and reduces life …
neural system, which usually leads to great damages to human beings and reduces life …
Machine Learning-Based Brain Disease Classification Using EEG and MEG Signals
A Ahilan, J Angel Sajani… - … Conference on Frontiers …, 2023 - Springer
Electroencephalography (EEG) and Magneto-encephalography (MEG) are important tools
for assessing brain activity that are being developed scientifically. EEG enables better …
for assessing brain activity that are being developed scientifically. EEG enables better …
Supervised Machine Learning System Based Segmentation and Classification of Strokes Using Deep Learning Techniques
S Akshatha, M Metun, R Prithvi - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Machine learning has gained importance in recent years, helped by lower computer power
and also more economical data collection, enabling the safe storage, processing, and …
and also more economical data collection, enabling the safe storage, processing, and …
[PDF][PDF] Supervised Machine Learning System Based Segmentation And Classification Of Strokes Using Deep Learning Techniques
R Prithvi, S Akshatha - researchgate.net
Machine learning has gained importance in recent years, helped by lower computer power
and also more economical data collection, enabling the safe storage, processing, and …
and also more economical data collection, enabling the safe storage, processing, and …
[PDF][PDF] Research Article Early Stroke Prediction Methods for Prevention of Strokes
The emergence of the latest technologies gives rise to the usage of noninvasive techniques
for assisting health-care systems. Amongst the four major cardiovascular diseases, stroke is …
for assisting health-care systems. Amongst the four major cardiovascular diseases, stroke is …