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Research on Medical Cases Model Based on Ontology

Author: ZuoLei
Tutor: MaoXueZuo
School: Hefei University of Technology
Course: Management Science and Engineering
Keywords: Case Library of Medicine Unified Medical Language System Ontology Concept Dictionary Object-oriented database
CLC: R195
Type: Master's thesis
Year: 2008
Downloads: 180
Quote: 3
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Abstract


At present, in the field of medicine, medical case base is valuable medical information warehouse, electronic medical records exactly what the medical case library information sources, and has been a wide range of practical applications. But the case in the medical case base is mostly in the form of text data stored, the computer can not handle the semantic information of its meaning, it is difficult to automate the knowledge acquisition. In addition, due to the not yet standardized data formats between different medical information systems can not achieve effective information sharing and interoperability. The above issues must be resolved from the point of view of the formal semantics. In this paper, the Unified Medical Language System Ontology (ontology) and object database technology, medical case base model based on ontology. The model can be described in the semantic level and storage of medical information, and to achieve interoperability between heterogeneous medical case base. The specific content of the study are: 1. Proposed building ideas and basic structure of the case base model. The model is driven by the body, including the three-tier structure of the application layer, the semantic layer and data layer, the medical ontology database in which the data layer and object database is the foundation and core of the whole model. Text medical ontology repository build a mixed strategy, that is, by global ontology (concept dictionary) and local ontology library to build medical ontology library. This strategy to build medical ontology library has a unified body foundation (concept dictionary), so that the information and data between heterogeneous case base interoperability becomes possible, and to some extent, improve the effectiveness of medical information retrieval accuracy. Object model database is able to effectively express semantic information database schema of the data, by the process of introducing the method of the body into the definition of the object database model, in order to enhance the semantic representation of the database model, while simplifying the semantics conflict resolution process, to some extent, improve medical information storage efficiency and reuse rate. Paper ontology mapping research, combined with the characteristics of this model, a conceptual similarity calculation algorithm, and the effectiveness of the algorithm, the experimental verification. The algorithm can determine the concept of the degree of similarity between the heterogeneous body algorithm for ontology mapping between heterogeneous medical information systems support. The above study has certain theoretical and practical significance.

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CLC: > Medicine, health > Preventive Medicine,Health > Health care organizations and career ( Health Management ) > Health Survey and Statistics
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