Ontological Representation of Medical Decision Support System Using Machine Learning Classifiers

Abstract

Medical Decision Support System (MDSS) maps patient information to effective diagnostic and therapeutic pathways. In order to give a robust response to the medical information issue in the situation of missing information, this research presents a comparative examination of various machine learning classifiers for a medical decision-support system. We offer a comparative analysis of an integrated medical decision support system in this paper to help with clinical decisions including the prescription of medications. This study also examines the implementation outcomes brought about by using comparison representations and machine learning techniques to fill in the gaps in the data. © 2023 IEEE.