Medical knowledge base system based on data mining

Abstract

The invention provides a medical knowledge base system based on data mining, and relates to the technical field of the medical knowledge base system. The medical knowledge base system based on data mining comprises a clinical medical knowledge base visual editor based on data mining, a clinical medical knowledge Web Service application server based on data mining, and a clinical medical knowledge base based on data mining. The clinical medical knowledge visual editor based on data mining is connected with the clinical medical knowledge base based on data mining via the clinical medical knowledge Web Service application server based on data mining. With professional and systematic research and analysis of clinical knowledge and combination of a big data mining and analysis technology for revealing and positioning rationality of all clinical knowledge elements in the diagnosis and treatment behavior, including disease, medicine, examination and material, the clinical diagnosis and treatment behavior can be better standardized, overall clinical medical cost can be controlled and reduced and use of medical healthcare insurance fund is ensured to be safe.

Description

Technical field: [0001] The invention relates to the technical field of medical knowledge base systems, in particular to a data mining-based medical knowledge base system. Background technique: [0002] At present, most of the clinical guidelines used by clinicians are based on static texts, which are inconvenient to consult and update, and because static texts only provide knowledge accumulation, they cannot effectively become a promotion tool for medical insurance monitoring and review and clinical knowledge update. At the same time, clinical medical knowledge based on static text lacks support for clinical knowledge based on data mining. It is necessary to compile clinical medical knowledge based on static text into computer-understandable clinical medical knowledge based on data mining to support audit analysis and decision-making of medical behavior. [0003] The presentation layer adopts Flex technology. Flex is an efficient, free, open source framework for building e...

AI Technical Summary

Problems solved by technology

[0002] At present, most of the clinical guidelines used by clinicians are based on static texts, which are inconvenient to consult and update, and because static texts only provide knowledge accumulation, they cannot effectively become a promotion tool for medical insurance monitoring and review and clinical knowledge update

At the same time, clinical medical knowledge based on static text lacks support for clinical knowledge based on data mining. It is necessary to compile clinical medical knowledge based on static text into computer-understandable clinical medical knowledge based on data mining to support audit analysis and decision-making of medical behavior.

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