BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches

BIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches

BackgroundCancer rates are rising rapidly, causing global mortality. According to the World Health Organization (WHO), 9.9 million people died from cancer in 2020. Machine learning (ML) helps identify cancer early, reducing deaths. An ML-based cancer diagnostic model can use the patient’s genetic in...

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Bibliographic Details
Main Authors: Pinakshi Panda, Sukant Kishoro Bisoy, Amrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, Zheshan Guo, Haipeng Liu, Prince Jain
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Genetics
Subjects:
cancer prediction
microarray data
feature selection
swarm intelligence
ensemble learning
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2024.1491602/full
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https://www.frontiersin.org/articles/10.3389/fgene.2024.1491602/full

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