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Machine Learning Models for Predicting Multiple Myeloma Staging and MGUS Progression Using Gene Expression Data

2024-11-15

Abstract excerpt

In this study, we developed and evaluated Machine Learning (ML) models aimed at predicting the stage of multiple myeloma (MM) and the progression of monoclonal gammopathy of undetermined significance (MGUS) to MM. Accurate staging of MM is critical for determining appropriate treatment strategies, and our models, employing algorithms such as ElasticNet, Random Forest, Boosting, and Support Vector Machines, demonst...

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Literature Corpus work
020217b3-493b-56fa-934b-43bffcabc0c4
DOI
10.1101/2024.11.12.623149
Open publication

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Machine Learning Models for Predicting Multiple Myeloma Staging and MGUS Progression Using Gene Expression DataDOI 10.1101/2024.11.12.623149
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