Predicting Lymphoma Development by Exploiting Genetic Variants and Clinical Findings in a Machine Learning-Based Methodology With Ensemble Classifiers in a Cohort of Sjögren’s Syndrome Patients
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IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
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Lymphoma development constitutes one of the most serious clinico-pathological manifestations of patients with Sjögren’s Syndrome (SS). Over the last decades the risk for lymphomagenesis in SS patients has been studied…
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