ABSTRACT
Based on the data from the -, the bibliometric analysis was applied to analyze and evaluate the literature regarding clinical research of acupuncture for ophthalmopathy published between 1954 to 2016, hoping to objectively reflect the disease spectrum and indication of acupuncture for ophthalmopathy. The results showed that the disease spectrum of acupuncture for ophthalmopathy involved 47 specific diseases in 13 types of diseases. The total number of cases was 176 469, and the number of effective cases was 160 662, and the effective rate was 91.0%. The indication of acupuncture for ophthalmopathy included myopia, blepharoptosis and conjunctivitis. The commonly used indications were strabismus, dry eye and ophthalmoplegia, and the secondary indications were optic atrophy, blepharoptosis, oculomotor paralysis, blepharospasm, amblyopia. The most commonly used acupuncture points for ophthalmopathy were Cuanzhu (BL 2), Jingming (BL 1), Taiyang (EX-HN 5), and the most commonly used auricular points were yan (LO), gan (CO) and shen (CO). As for the methods of acupoint combination, local acupoints were mainly selected, combined with distal acupoint to assist treatment.
ABSTRACT
As traditional data management model cannot effectively manage the massive data in traditional Chinese medicine(TCM) due to the uncertainty of data object attributes as well as the diversity and abstraction of data representation, a management strategy for TCM data based on big data technology is proposed. Based on true characteristics of TCM data, this strategy could solve the problems of the uncertainty of data object attributes in TCM information and the non-uniformity of the data representation by using modeless properties of stored objects in big data technology. Hybrid indexing mode was also used to solve the conflicts brought by different storage modes in indexing process, with powerful capabilities in query processing of massive data through efficient parallel MapReduce process. The theoretical analysis provided the management framework and its key technology, while its performance was tested on Hadoop by using several common traditional Chinese medicines and prescriptions from practical TCM data source. Result showed that this strategy can effectively solve the storage problem of TCM information, with good performance in query efficiency, completeness and robustness.
Subject(s)
Big Data , Information Storage and Retrieval , Methods , Medicine, Chinese TraditionalABSTRACT
From the perspective of standardization development of Traditional Chinese Medicine (TCM) information,the paper puts forward the categorizing and coding scheme of clinical TCM information,builds a frame of basic clinical TCM information classification,which consists of 6 Grade 1 categories,30 subcategories and a few detailed categories,to provide standardized support for informatization and standardization study in the area of TCM.
ABSTRACT
Targeting the problem that it is difficult for traditional data management mode to effectively manage TCM information, this article analyzed from the aspect of object characteristics of TCM information resources and summarized that the reason lies in the TCM information resources with big data 4V features, proposed strategies for TCM information resource management based on big data technology, and expounded the feasibility.
ABSTRACT
This paper presents a development model of resource information institute from organic integration the institute of information and library.The all data of resources-information institute come from and serve for theoretical research,clinical practice,and scientific research of TCM.Comparing with usual research institute and library,the resource information institute has five dominant positions,which are subjects,scientific researches,resource,professionals and services.
ABSTRACT
Data quality issues of TCM structured data warehouse system is very important.This paper analyzed the data quality issues from the data repository to the data extraction,cleansing,transformation,loading (ETL) into the data warehouse process and established the principle of corresponding control,and researched improving data quality measures to ensure the success of data warehouse and right decision support.