Exploring machine learning strategies for predicting cardiovascular disease risk factors from multi-omic data
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Background: Machine learning (ML) classifiers are increasingly used for predicting cardiovascular disease (CVD) and related risk factors using omics data, although these outcomes often exhibit categorical nature and class imbalan... ...
