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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Semarak Ilmu Publishing
2026
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42939/1/Embedded%20Feature%20Importance%20with%20Threshold-based%20Selection%20for%20Optimal%20Feature%20Subset%20in%20Autism%20Screening.pdf http://umpir.ump.edu.my/id/eprint/42939/ https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/5362 |
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http://umpir.ump.edu.my/id/eprint/42939/1/Embedded%20Feature%20Importance%20with%20Threshold-based%20Selection%20for%20Optimal%20Feature%20Subset%20in%20Autism%20Screening.pdfhttp://umpir.ump.edu.my/id/eprint/42939/
https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/5362