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Multiple machine-learning tools identifying prognostic biomarkers for acute Myeloid Leukemia

2 Jan 2024

Abstract excerpt

BACKGROUND: Acute Myeloid Leukemia (AML) generally has a relatively low survival rate after treatment. There is an urgent need to find new biomarkers that may improve the survival prognosis of patients. Machine-learning tools are more and more widely used in the screening of biomarkers. METHODS: Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine-Recursive Feature Elimination...

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PMID: 38167056
DOI: 10.1186/s12911-023-02408-9

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