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A Hybrid Sampling Approach for Classification of Imbalanced Health Data Using Synthetic Minority Oversampling Technique and Edited Nearest Neighbor.

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Title: A Hybrid Sampling Approach for Classification of Imbalanced Health Data Using Synthetic Minority Oversampling Technique and Edited Nearest Neighbor.
Authors: Mufarroha, Fifin Ayu1 (AUTHOR) fifin.mufarroha@trunojoyo.ac.id, Rochman, Eka Mala Sari1 (AUTHOR), Rachmad, Aeri1 (AUTHOR), Qomariyah, Fitriyatul2 (AUTHOR), Asmara, Yuli Panca3 (AUTHOR)
Source: Mathematical Modelling of Engineering Problems. Mar2026, Vol. 13 Issue 3, p583-594. 12p.
Database: Mathematics Source
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  Data: A Hybrid Sampling Approach for Classification of Imbalanced Health Data Using Synthetic Minority Oversampling Technique and Edited Nearest Neighbor.
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  Data: <searchLink fieldCode="JN" term="%22Mathematical+Modelling+of+Engineering+Problems%22">Mathematical Modelling of Engineering Problems</searchLink>. Mar2026, Vol. 13 Issue 3, p583-594. 12p.
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        Value: 10.18280/mmep.130313
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      – Code: eng
        Text: English
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      – TitleFull: A Hybrid Sampling Approach for Classification of Imbalanced Health Data Using Synthetic Minority Oversampling Technique and Edited Nearest Neighbor.
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              Text: Mar2026
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              Y: 2026
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