Embedded feature importance with threshold-based selection for optimal feature subset in autism screening

Embedded feature importance with threshold-based selection for optimal feature subset in autism screening

The early detection of autism spectrum disorders (ASD) in children poses significant challenges due to the dynamic and progressive nature of the symptoms. To The current screening process involves a lengthy and costly series of questions covering various aspects of a child's development. To add...

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Bibliographic Details
Main Authors: Ainie Hayati, Noruzman, Ngahzaifa, Ab Ghani, Nor Saradatul Akmar, Zulkifli, Alhroob, Essam
Format: Article
Language:English
Published: Semarak Ilmu Publishing 2026
Subjects:
QA75 Electronic computers. Computer science
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/42939/
http://umpir.ump.edu.my/id/eprint/42939/1/Embedded%20Feature%20Importance%20with%20Threshold-based%20Selection%20for%20Optimal%20Feature%20Subset%20in%20Autism%20Screening.pdf

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