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Classification of imbalanced medical data: An empirical study of machine learning approaches.

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Title: Classification of imbalanced medical data: An empirical study of machine learning approaches.
Authors: Mundra, Shikha1, Vijay, Shounak1, Mundra, Ankit2, ankitmundra8891@gmail.com, Gupta, Punit3, Goyal, Mayank Kumar4, Kaur, Mandeep4, Khaitan, Supriya5, Rajpoot, Abha Kiran4
Source: Journal of Intelligent & Fuzzy Systems; 2022, Vol. 43 Issue 2, p1933-1946, 14p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 157790825
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+%26+Fuzzy+Systems%22">Journal of Intelligent & Fuzzy Systems</searchLink>; 2022, Vol. 43 Issue 2, p1933-1946, 14p
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      – Type: doi
        Value: 10.3233/JIFS-219294
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 1933
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      – TitleFull: Classification of imbalanced medical data: An empirical study of machine learning approaches.
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              Text: 2022
              Type: published
              Y: 2022
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            – TitleFull: Journal of Intelligent & Fuzzy Systems
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