Enhancing autism screening classification using feature selection and stacking classifier

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Enhancing autism screening classification using feature selection and stacking classifier

The current screening process for early detection of autism spectrum disorders (ASD) is time-consuming and costly., requiring numerous questions about various aspects of a child's development. To address this issue., this study integrates the Recursive Feature Elimination (RFE) method into a st...

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Bibliographic Details
Main Authors:	Ainie Hayati, Noruzman, Ngahzaifa, Ab Ghani, Nor Saradatul Akmar, Zulkifli
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/40335/ http://umpir.ump.edu.my/id/eprint/40335/1/Enhancing%20autism%20screening%20classification%20using%20feature.pdf http://umpir.ump.edu.my/id/eprint/40335/2/Enhancing%20autism%20screening%20classification%20using%20feature%20selection%20and%20stacking%20classifier_ABS.pdf

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