Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume:12 Page:35754-35764
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Saleem Muhammad Asim¹^ORCID,Javeed Ashir²^ORCID,Akarathanawat Wasan³,Chutinet Aurauma³^ORCID,Suwanwela Nijasri Charnnarong³,Asdornwised Widhyakorn¹,Chaitusaney Surachai¹^ORCID,Deelertpaiboon Sunchai¹,Srisiri Wattanasak¹,Benjapolakul Watit¹^ORCID,Kaewplung Pasu¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Faculty of Engineering, Center of Excellence in Artificial Intelligence, Machine Learning, and Smart Grid Technology, Chulalongkorn University, Bangkok, Thailand

2. Aging Research Center, Karolinska Institutet, Stockholm, Sweden

3. Department of Medicine, Division of Neurology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand

Funder

National Science, Research and Innovation Fund (NSRF) via the Program Management Unit for Human Resources and Institutional Development, Research and Innovation

Ratchadapisek Somphot Fund for Center of Excellence in Artificial Intelligence, Machine Learning, and Smart Grid Technology

Second Century Fund (C2F), Chulalongkorn University, Bangkok, Thailand

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10445193.pdf?arnumber=10445193

Reference51 articles.

1. An integrated machine learning approach to stroke prediction

2. Role of Ferroptosis in Stroke

3. CNS-peripheral immune interactions in hemorrhagic stroke

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