Discussion On The Establishment Of Modern Literature Database And Treatment Of Gynecological Disease TCM Syndrome

Objective:Vaginal discharge permit waiting modern literature database, do gynecological disease of syndromes standardized IT platform. Carry out exploratory research on the application value of the database by collecting and sorting out data, and summarize the features and patterns of leukorrhagia syndromes of traditional Chinese medicine, andclinical evidence rule, providing academic value for leukorrhagia diagnosis and treatment system.Methods:By consulting related modern literature of leukorrhagia, collecting and sorting data, using the Access2007program to establish a database, improved the window of the newly-established database, and created query function. Standardize the main syndrome of leukorrhagia, Clinical symptoms and the laws of medicine application of standard syndrome by doing frequency analysis and cluster analysis on related data of the database,Results:A total of897literatures were collected and screened,177papers were classified. a total of637according to TCM syndrome, Statistical analysis showed:leukorrhagia related modern literature of TCM syndrome distribution as follow,205times of nonstandard syndrome type description,39kinds of standard syndrome type description, including some kind that cannot be classified. Standardize and make statistical analysis of8kinds disease factors,20kinds of disease focus factors. Made the frequency analysis and cluster analysis for the12main syndromes of leukorrhagia, concluded the related major symptoms, and main aspects of local symptoms and systemic symptoms. Carry out Exploratory study of laws of medicine application of12kinds of syndromes, mining use features of medicine application on each type.Conclusion:The establishment of the "leukorrhagia Chinese modern literature database" enrich our literature collection, and comprehensive ability of collation and analysis It has powerful function contains input, delete, sorting, query, statistics, and network technology platform support, which can be widely used in medical work, clinical teaching, clinical research and other fields. The establishment of this database will provide scientific basis for future multicenter large sample epidemiological investigation, also provides guidance for other diseases and other disciplines.