Machine learning in the analysis of medical profiles of patients with coronary heart disease in the context of unbalanced data
Background. Using machine learning (ML) techniques in addition to traditional methods can make disease diagnosis more reliable and unbiased. The aim of the study is to compare the efficacy of machine learning methods on imbalanced data for identifying dominant diagnostic features that form the clinical profile of...