Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages

Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages

Cerebrovascular diseases such as stroke are among the most common causes of death and disability worldwide and are preventable and treatable. Early detection of strokes and their rapid intervention play an important role in reducing the burden of disease and improving clinical outcomes. In recent ye...

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Bibliographic Details
Main Authors: Muhammad Asim Saleem, Ashir Javeed, Wasan Akarathanawat, Aurauma Chutinet, Nijasri Charnnarong Suwanwela, Widhyakorn Asdornwised, Surachai Chaitusaney, Sunchai Deelertpaiboon, Wattanasak Srisiri, Watit Benjapolakul, Pasu Kaewplung
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Stroke
feature selection
genetic algorithm
LSTM
BiLSTM
CT images
Online Access:https://ieeexplore.ieee.org/document/10445193/

Internet

https://ieeexplore.ieee.org/document/10445193/

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