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Hybrid Feature Selection–Based Approach to Predict Celiac Disease Using Ensemble Machine Learning With Hyperparameter Tuning and Model Explainability.

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Title: Hybrid Feature Selection–Based Approach to Predict Celiac Disease Using Ensemble Machine Learning With Hyperparameter Tuning and Model Explainability.
Authors: Uddin, Khandaker Mohammad Mohi1, jilanicsejnu@gmail.com, Bhuiyan, Md. Tofael Ahmed1, Hassan, Md. Maruf1, Deepali1, dedeepali@wiley.com
Source: Journal of Electrical & Computer Engineering; 5/25/2026, Vol. 2026, p1-32, 32p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Electrical+%26+Computer+Engineering%22">Journal of Electrical & Computer Engineering</searchLink>; 5/25/2026, Vol. 2026, p1-32, 32p
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        Value: 10.1155/jece/6024336
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      – Code: eng
        Text: English
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        PageCount: 32
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      – TitleFull: Hybrid Feature Selection–Based Approach to Predict Celiac Disease Using Ensemble Machine Learning With Hyperparameter Tuning and Model Explainability.
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            NameFull: Uddin, Khandaker Mohammad Mohi
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            NameFull: Bhuiyan, Md. Tofael Ahmed
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            NameFull: Hassan, Md. Maruf
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              Text: 5/25/2026
              Type: published
              Y: 2026
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              Value: 2026
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