Knowledge Organization (KO) is published by IMR Press from Volume 52 Issue 1 (2025). Previous articles were published by another publisher under the CC-BY licence, and they are hosted by IMR Press on imrpress.com as a courtesy and upon agreement.
Research on Coronary Heart Disease Knowledge Organization Based on Follow-up Data
Jinghua Cui 1, Chendi Zhu 2, Mark Xuefang Zhu 1, Qingfeng Yin 3, Ya Hou 3
Affiliations
Article Info
1 Nanjing University School of Information Management, Nanjing, 210044, China
2 Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Germany
3 Jiangsu Famous Medical Technology Company, 206, Block C, Talent Building, No. 10 Xinghuo Road, Pukou High-tech Zone Nanjing, Jiangsu, 210005, China
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.