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Record #72879

Hybrid deep learning and feature selection approach for autism detection from rs-fMRI data

Journal
PLoS One
Publisher
PLoS
Original paper date
Apr 7, 2026
Institution
Artificial Intelligence Research Center (AIRC), Ajman University, Ajman , United Arab Emirates · Faculty of Social and Human Sciences, Galala University, Suez, Egypt · Department of Computer, Damietta University, Damietta, Egypt · Technology of Radiology and Medical Imaging Program, Faculty of Applied Health Sciences Technology, Galala University, Suez, Egypt · Mathematics and Computer Science Department, University of Ahmed DRAIA, Adrar, Algeria · Department of Mathematics and Statistics, College of Science, Taif University, Taif, Saudi Arabia · King Salman Center for Disability Research, Riyadh, Saudi Arabia · Department of Statistics and Operations Research, College of Sciences, King Saud University, Kingdom of Saudi ArabiaRiyadh · Department of Mathematics, Faculty of Science, Zagazig University, Zagazig, Egypt · Artificial Intelligence Research Center (AIRC), College of Engineering and Information Technology, Ajman University, Ajman, United Arab Emirates · Center of Excellence in Precision Medicine and Digital Health, Department of Physiology, Geriatric Dentistry and Special Patients Care Program, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand
Open access
No
Article type
Research Article
Broad categories
(B/T) Data Science(BLS) Neuroscience(HSC) Radiology/Imaging
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