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Balancing data imbalance in biomedical datasets using a stacked augmentation approach with STDA, DAGAN, and pufferfish optimization to reveal AI's transformative impact

Crossref DOI link: https://doi.org/10.1007/s41870-024-02234-w

Published Online: 2024-10-23

Published Print: 2025-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Veedhi, Bhaskar Kumar

Das, Kaberi https://orcid.org/0000-0002-4974-6300
Mishra, Debahuti https://orcid.org/0000-0002-6827-6121
Mishra, Sashikala https://orcid.org/0000-0002-5433-4917
Behera, Mandakini Priyadarshani https://orcid.org/0000-0001-5930-9262
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Text and Data Mining valid from 2024-10-23

Version of Record valid from 2024-10-23
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Article History

Received: 12 June 2024

Accepted: 19 September 2024

First Online: 23 October 2024

Declarations

:

: The authors declare that they have no competing interests related to this research.

: The study utilizes freely available biomedical datasets, causing no direct harm to individuals or animals, thus doesn't require ethical approval. The research upholds integrity, transparency, and privacy, anonymizing personal data. It pledges to maintain ethical standards, responsibly using data and sharing unbiased findings for scientific and societal advancement.

: All authors have consented for the submission of manuscript.

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