2022
DOI: 10.3390/diagnostics12071771
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An Enhanced Multiple Sclerosis Disease Diagnosis via an Ensemble Approach

Abstract: Multiple Sclerosis (MS) is a disease attacking the central nervous system. According to MS Atlas’s most recent statistics, there are more than 2.8 million people worldwide diagnosed with MS. Recently, studies started to explore machine learning techniques to predict MS using various data. The objective of this paper is to develop an ensemble approach for diagnosis of MS using gene expression profiles, while handling the class imbalance problem associated with the data. A hierarchical ensemble approach employin… Show more

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