Authors: Xiang Zhang; Shixing Yan; Guozheng Li
Addresses: Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Science, Beijing, 100700, China ' Shanghai Menorah Information Technology Co. Ltd., Shanghai, 210800, China ' Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Science, Beijing, 100700, China
Abstract: Doctors of traditional Chinese medicine (TCM) need to learn a lot of knowledge of both Chinese and Western medicine, and have to diagnose and treat a large number of patients within a very limited time, which imposes a severe stress on them. Therefore, knowledge and assistant-decision-making (ADM) that help determination of Zheng's, diseases and treatments is an urgent need in clinical treatment. Case-based reasoning (CBR) based on ontology have gradually become a spotlight. This article first reviewed the relevant theory and research of ontology and CBR. Then, the description language and constructing method of ontology are discussed. Finally, this article makes analysis of methods and technology used in CBR based on ontology from knowledge representation of clinical cases and similarity computation.
Keywords: ontology; case-based reasoning; CBR; traditional Chinese medicine; TCM; knowledge representation; medical decisions; decision making; medical diagnosis; treatment.
International Journal of Computers in Healthcare, 2015 Vol.2 No.2, pp.111 - 120
Received: 07 May 2014
Accepted: 17 Feb 2015
Published online: 11 Jun 2015 *