Research on Coronary Heart Disease Knowledge Organization Based on Follow-up Data

Abstract

Coronary heart disease was the main reason behind the millions of deaths caused by heart attacks in patients over the last decades. This study is a knowledge organization study of coronary heart disease based on follow-up data. Firstly, we refer to some medical ontologies on the Bioportal webpage and extract some entities and define them based on the BFO top-level ontology, then summarize their attributes and construct semantic model to form semantic relationships, and finally use Protégé to form a coronary heart disease ontology based on follow-up data, and store and visualize it with the help of GraphDB. The visualization graph finally formed in this study enables the data of each follow-up visit to be reflected on a visualization interface in a centralized and systematic way at the same time, thus helping physicians to browse patient information comprehensively, intuitively and quickly in order to find the key factors affecting the treatment outcome.