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Advancements in Hybrid Machine Learning Models for Biomedical Disease Classification Using Integration of Hyperparameter-Tuning and Feature Selection Methodologies: A Comprehensive Review

Crossref DOI link: https://doi.org/10.1007/s11831-025-10309-5

Published Online: 2025-06-30

Published Print: 2026-01

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

Authors

Dhanka, Sanjay

Sharma, Abhinav

Kumar, Ankur

Maini, Surita

Vundavilli, Haswanth
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Text and Data Mining valid from 2025-06-30

Version of Record valid from 2025-06-30
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Article History

Received: 8 April 2025

Accepted: 17 June 2025

First Online: 30 June 2025

Change Date: 9 January 2026

Change Type: Update

Change Details: The original online version of this article was revised: In this article the author’s name ‘Haswanth Vundavilli’ was incorrectly written as ‘Haswant Vundavilli’

Change Date: 13 January 2026

Change Type: Correction

Change Details: A Correction to this paper has been published:

Change Details: https://doi.org/10.1007/s11831-025-10491-6

Declarations

:

: The authors declare no competing financial or individual interests related to this study.

: Ethical considerations regarding data privacy and usage were not applicable in this study due to the review nature of this study.

Updates are available Correction dated 2026-01-13

Click to view Correction: https://doi.org/10.1007/s11831-025-10491-6