Evidence-based medical data base establishment method and related evidence-based medical disease diagnostic method

Abstract

The invention relates to an evidence-based medicine database establishment method and an evidence-based medicine disease diagnosing method to solve the problem that the traditional medicine database cannot be applied to evidence-based medicine decision making. For the invention, diagnostic elements of each disease are grouped and the elements provided with the identical internal-weight value and parallel value are grouped into the same group to form a diagnostic element group and then the diagnostic element groups are adopted to form the corresponding diagnostic template which is adopted to establish the database used for evidence-based medicine disease diagnosis. Based on the database, the evidence-based medicine disease diagnosing method can be established; wherein, the corresponding diagnostic element group can be searched out according to the diagnostic elements inputted by users and then the decision probability to the relevant one or a plurality of diseases against the received diagnostic elements is figured out according to the corresponding parallel value S, internal-weight value P and external-weight value R in the diagnostic element group and the number of the diagnostic elements actually meeting the diagnostic element group and is also sorted and displayed to the user so as to realize the purpose of intelligent diagnosis under the evidence-based medicine theory.

Description

Technical field [0001] The invention relates to a computer decision-making method, more specifically, to a method for establishing an evidence-based medicine database and an evidence-based medicine disease diagnosis method based on the database. Background technique [0002] 1. About medical artificial intelligence [0003] Medical artificial intelligence is the study of how to use computers to simulate the clinical thinking process of doctors and complete diagnosis and treatment work like doctors. The basis of these processes and work is the acquisition and expression of medical knowledge. A good medical artificial intelligence system will actually involve most areas of artificial intelligence, including: (1) Expert system, which mainly faces the personal experience of doctors; (2) Decision support system, which mainly faces the common problems of most doctors Knowledge; (3) Pattern recognition, centering on core issues such as data structure; (4) Understanding natural language,...

AI Technical Summary

Problems solved by technology

The establishment of a corresponding Chinese thesaurus system in domestic HIS is conducive to information exchange with the outside world. Through English-Chinese translation and HIS retrieval of rich international evidence-based medical resources and comparison with the information of the patients diagnosed and treated, it is helpful for evidence-based medical treatment. Medical clinical practice, but the translation work and database construction work should be coordinated and organized by relevant departments

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