Using Knowledge Graph for Analysis of Neglected Influencing Factors of Statin-Induced Myopathy

Abstract

Statins have been widely used for the treatment of cardiovascular diseases. However, the most severe adverse effect of statins is myotoxicity, in the form of myopathy and other similar ones. Identifying whether it is a statins-induced muscle symptoms plays an important role in the use of statins. In this paper, we propose an approach to analyse the neglected influencing factors of statin-induced myopathy in a coronary heart disease case by using the technology of knowledge graphs. Through the n-of-1 trial, we can verify the accuracy of the knowledge graphs for this task. Furthermore, Knowledge graph of adverse reactions and symptoms is expected to assist physicians in determining adverse events in the future.