Article

Error reduction in leukemia machine learning classification with conformal prediction

2024-12-16

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Purpose</h4> Recent advances in machine learning (ML) have led to the development of classifiers that predict molecular subtypes of acute lymphoblastic leukemia (ALL) using RNA sequencing (RNA-seq) data. While these models have shown promising results, they often lack robust performance guarantees. The aim of this study was three-fold: to quantify the uncertainty of these classifiers; to pr...

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Literature Corpus work: ffb4c6cf-ce56-51f5-8682-0d2b0d3623ca
DOI: 10.1101/2024.12.11.627902

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