Novel Hybrid Feature Selection Using Binary Portia Spider Optimization Algorithm and Fast mRMR

Novel Hybrid Feature Selection Using Binary Portia Spider Optimization Algorithm and Fast mRMR

<b>Objective:</b> The cancer death rate has accelerated at an alarming rate, making accurate diagnosis at the primary stages crucial to enhance prognosis. This has deepened the issue of cancer mortality, which is already at an exponential scale. It has been observed that concentration on...

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Bibliographic Details
Main Authors: Bibhuprasad Sahu, Amrutanshu Panigrahi, Abhilash Pati, Manmath Nath Das, Prince Jain, Ghanashyam Sahoo, Haipeng Liu
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Bioengineering
Subjects:
cancer prediction
fast mRMR
binary Portia spider optimization (BPSOA)
feature selection
weighted SVM
Online Access:https://www.mdpi.com/2306-5354/12/3/291
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