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Addressing Class Imbalance Problem in Health Data Classification: Practical Application From an Oversampling Viewpoint.

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Title: Addressing Class Imbalance Problem in Health Data Classification: Practical Application From an Oversampling Viewpoint.
Authors: Agyemang, Edmund Fosu1,2,3, edmundfosu6@gmail.com, Mensah, Joseph Agyapong3, Nyarko, Eric1, Arku, Dennis1, Mbeah-Baiden, Benedict1, Opoku, Enock3, Noye Nortey, Ezekiel Nii1, ennnortey@ug.edu.gh, Lin, Cheng-Jian
Source: Applied Computational Intelligence & Soft Computing; 2/26/2025, Vol. 2025, p1-20, 20p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 183913115
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Addressing Class Imbalance Problem in Health Data Classification: Practical Application From an Oversampling Viewpoint.
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        Value: 10.1155/acis/1013769
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        Text: English
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