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Optimization of Random Forest for Health Data Classification Using PCA and K-Means SMOTE-ENN.

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Title: Optimization of Random Forest for Health Data Classification Using PCA and K-Means SMOTE-ENN.
Authors: Priyanto, Dadang1, dadang.priyanto@universitasbumigora.ac.id, Hairani, Hairani1, hairani@universitasbumigora.ac.id, Marzuki, Khairan1, khairan@universitasbumigora.ac.id, Innuddin, Muhammad1, inn@universitasbumigora.ac.id
Source: Engineering, Technology & Applied Science Research; Oct2025, Vol. 15 Issue 5, p27646-27652, 7p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189243440
AccessLevel: 2
PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Engineering%2C+Technology+%26+Applied+Science+Research%22">Engineering, Technology & Applied Science Research</searchLink>; Oct2025, Vol. 15 Issue 5, p27646-27652, 7p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189243440
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      – Type: doi
        Value: 10.48084/etasr.12976
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      – Code: eng
        Text: English
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      – TitleFull: Optimization of Random Forest for Health Data Classification Using PCA and K-Means SMOTE-ENN.
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            NameFull: Hairani, Hairani
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              Text: Oct2025
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              Y: 2025
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              Value: 15
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