The Research On And Implementation Of Open Learning Tool For Clinical Guidelines Based On Ontology

With the deepening of the level of development of information technology and information sharing, advanced theoretical knowledge inherited by precipitation in every industry, behind way out. More close relationship between industry and the industry, application of computers and computer-related knowledge is information carriers and platforms. The combination of industry and computer, and formed their respective information. Computers, artificial intelligence, and medical decision making of CDSS combined formation of diagnosis and treatment decision support systems. Under the framework of the system of intelligent decision support system for auxiliary system of the need to study other; to help doctors and decision support systems for decision support. Doctors now using CDSS to diagnosis and treatment of different diseases, doctors in the learning process, the lack of a specific disease, open learning tool-assisted learning, retrieval of medical tools. This clinical guide design based on open learning tools.This article focuses on the study of ontology-based technologies, and presents a new approach of clinical guidelines based on ontology, which main differences in disease-specific clinical guidelines, clinical guide to no uniform standards to different diseases. This article first describes a clinical guide to clinical guidelines knowledge representation based on ontology knowledge model and framework, drawing on the description of the OWL ontology language, combined with the characteristics of clinical guidelines, design a guide to clinical knowledge of modeling representations. Containing a common structure of the stored knowledge and knowledge base, to store the difference between disease knowledge in ontology, enabling Scalability Guide knowledge, openness. According to the ontology design clinical guide learning tool. Last verified by experiment and analysis of experimental results.