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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Institute of Electrical and Electronics Engineers Inc.
2023
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| 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 |
| _version_ | 1848826020423008256 |
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| author | Ainie Hayati, Noruzman Ngahzaifa, Ab Ghani Nor Saradatul Akmar, Zulkifli |
| author_facet | Ainie Hayati, Noruzman Ngahzaifa, Ab Ghani Nor Saradatul Akmar, Zulkifli |
| author_sort | Ainie Hayati, Noruzman |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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 stacking ensemble classifier., allowing to identify the most important and effective features from the autism screening tool. This approach is aimed to create a simplified version of the autism screening and to make the screening process faster and more efficient by reducing the number of questions in autism screening tool. The proposed model provides a more efficient and simplified alternative for autism screening., allowing for early decision-making based on consistent and precise results. With 0.9760% accuracy results in predicting ASD traits., it is hoped that these findings will be an alternative option to make the screening questions much simpler while also providing an alternative to parents in predicting autism earlier and with less time. |
| first_indexed | 2025-11-15T03:38:11Z |
| format | Conference or Workshop Item |
| id | ump-40335 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:38:11Z |
| publishDate | 2023 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-403352024-04-16T04:11:18Z http://umpir.ump.edu.my/id/eprint/40335/ Enhancing autism screening classification using feature selection and stacking classifier Ainie Hayati, Noruzman Ngahzaifa, Ab Ghani Nor Saradatul Akmar, Zulkifli QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) 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 stacking ensemble classifier., allowing to identify the most important and effective features from the autism screening tool. This approach is aimed to create a simplified version of the autism screening and to make the screening process faster and more efficient by reducing the number of questions in autism screening tool. The proposed model provides a more efficient and simplified alternative for autism screening., allowing for early decision-making based on consistent and precise results. With 0.9760% accuracy results in predicting ASD traits., it is hoped that these findings will be an alternative option to make the screening questions much simpler while also providing an alternative to parents in predicting autism earlier and with less time. Institute of Electrical and Electronics Engineers Inc. 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40335/1/Enhancing%20autism%20screening%20classification%20using%20feature.pdf pdf en http://umpir.ump.edu.my/id/eprint/40335/2/Enhancing%20autism%20screening%20classification%20using%20feature%20selection%20and%20stacking%20classifier_ABS.pdf Ainie Hayati, Noruzman and Ngahzaifa, Ab Ghani and Nor Saradatul Akmar, Zulkifli (2023) Enhancing autism screening classification using feature selection and stacking classifier. In: 8th International Conference on Software Engineering and Computer Systems, ICSECS 2023 , 25-27 August 2023 , Penang. pp. 408-413. (192961). ISBN 979-835031093-1 (Published) https://doi.org/10.1109/ICSECS58457.2023.10256309 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Ainie Hayati, Noruzman Ngahzaifa, Ab Ghani Nor Saradatul Akmar, Zulkifli Enhancing autism screening classification using feature selection and stacking classifier |
| title | Enhancing autism screening classification using feature selection and stacking classifier |
| title_full | Enhancing autism screening classification using feature selection and stacking classifier |
| title_fullStr | Enhancing autism screening classification using feature selection and stacking classifier |
| title_full_unstemmed | Enhancing autism screening classification using feature selection and stacking classifier |
| title_short | Enhancing autism screening classification using feature selection and stacking classifier |
| title_sort | enhancing autism screening classification using feature selection and stacking classifier |
| topic | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/40335/ 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 |