Framework for Race-Specific Prostate Cancer Detection Using Machine Learning Through Gene Expression Data: Feature Selection Optimization Approach

Framework for Race-Specific Prostate Cancer Detection Using Machine Learning Through Gene Expression Data: Feature Selection Optimization Approach

Abstract BackgroundPrevious machine learning approaches for prostate cancer detection using gene expression data have shown remarkable classification accuracies. However, prior studies overlook the influence of racial diversity within the population and the importance of selec...

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Bibliographic Details
Main Authors: David Agustriawan, Adithama Mulia, Marlinda Vasty Overbeek, Vincent Kurniawan, Jheno Syechlo, Moeljono Widjaja, Muhammad Imran Ahmad
Format: Article
Language:English
Published: JMIR Publications 2025-07-01
Series:JMIR Bioinformatics and Biotechnology
Online Access:https://bioinform.jmir.org/2025/1/e72423
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