The convergence curves of the test functions.

<div><p>Precise forecasting of cancer outcomes is essential for medical professionals to assess the well-being of patients and develop customized therapeutic plans. Despite its importance, achieving precise forecasts remains a formidable challenge. To tackle this issue, we present an inn...

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Bibliographic Details
Main Author:	Ruiyu Zhan (21602031) (author)
Published:	2025
Subjects:	Genetics Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified performed comparative analyses natural biomimetic technology grey wolf optimizer achieves comparative results l &# 233 cancer genome atlas reliable prognostic tools driven cancer prognosis cancer prognosis predictions improve patient care experimental results show depth molecular research correct classification rate cancer &# 8212 model achieved accuracies bp algorithm achieved stage diabetes dataset &# 8212 medical prognosis cancer outcomes bp achieved prognostic performance diabetes dataset classification tasks precision rate cancer patients vy flight study focuses rich repository reliability compared public datasets novel approach mirna expression medical professionals machine learning levy flight leveraging data innovative method harmonic mean gene expression formidable challenge exceptional strengths esophageal cancers dna methylation corresponding values causative mechanisms bp method bp approach back propagation
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The convergence curves of the test functions.

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