The Study Of The Common Gynecologic Disease In Ancient And Modern Which Based On Data Mining

ObjectiveAlong with the "Knowledge Economy" and "Information Period", all professions and trades are expected to have a kind of technology can further analysis of the existing mass data, to get the knowledge which is hidden in the datas, so data mining technology which arises at the historic moment, Traditional Chinese Medicine should also try to use the new technology for the TCM literature research. However, the own characteristics of traditional Chinese medicine such as the variable of dialectical methods, the ill-firmed of discribtion which astrict the development of TCM on DM. How to guarantee the characteristics of traditional Chinese medicine and at the same time dispel the obstructions.it is a significant issue. In addition, the TCM literature data mining research mainly embodies in the laws of association rules to use analysis, but the existing evaluation system and the results obtained by screening rules is not like person meaning, often mixed with some meaningless conclusion, this reduces the knowledge discovery of clinical guidance after value. How to improve the existing evaluation system and the result more reference value, also is a problem to be solved.On the one hand, this paper is to the selection of ancient and modern Case records are analyzed and new knowledge to guide the practice of traditional Chinese medicine; More important is to explore the data mining transplantation in traditional Chinese medicine with the literature research method of solution and thinking, the future research personnel can provide some reference and reference. MethodsThis article take the syndrome factor to the traditional Chinese medicine dialectical system in the literature that the card type regulated, on the one hand, solve the standardization syndrome types, on the other hand, use the evidence can be split and combination, can give full play to the computer technology for the treatment of standardization of data advantage, make the data mining technology in Chinese medicine research more deeply. In order to make the results of data mining to get more value, this study adopts has strong ability to deal with the SQL server2008software as a tool, introduced in recent years the "importance" as a new evaluation parameters.In the course of the study, the gradual way, in a previous study of summing up the train of thought, for a later study; Adopting the multi-level research methods, the research content according to different purpose will be divided into several groups, and study the most suitable for solving a particular problem.Case recordsanalyses are divided into frequency analysis and correlation analysis of two parts. The former statistical methods to gain Case records evidence of thought behind the meat reference for the study of drugs, frequency. The latter using data mining technology, including simple drugs and drug group got the whole law, and to study the problems summarized and processing, provide the basis for future research; Sexual disease syndrome factor to get strong correlation between group, that is implied in the formulas for the medicine; Disease syndrome factor to get a group in the role of a disease of a drug laws.ResultsThrough to the ancient and modern four kind of disease, about nine hundred medical records correlation rules analysis, in addition to find that most of the existing relationship that traditional theory, verify the traditional theory, verify the effectiveness of the result of data mining outside, also got fresh knowledge:found hidden in medical records new drugs and drug laws of the implied. Summary as follows:I.17new couplet medicines:Uterine bleeding of ancient medical records: the syndrome of deficiency of vital energy:(radix bupleuri, rhizoma atractylodis); the syndrome of rhizoma atractylodis (Radix Ophiopogonis, radices rehmanniae); Uterine bleeding of morden medical records: the syndrome of heat:(crinis trachycprpi; Sanguisorba officinalis); the syndrome of rhizoma atractylodis (the fruit of Chinese wolfberry, Chinese yam),(golden cypress, Cortex Ailanthi);Algomenorrhea of ancient medical records: the syndrome of blood stasis:(Radix Aucklandiae, mastix); the syndrome of cold (evodia rutaecarpa, Pinellia ternata); the syndrome of stagnation of the circulation of vital energy (radix paeoniae rubra; Artemisia anomala);Algomenorrhea of morden medical records: the syndrome of blood stasis:(the root of red-rooted salvia; the root of bidentate achyranthes); the syndrome of cold (Rhizoma Cyperi, folium artemisiae argyi),(fennel, rhizoma zingiberis);Amenorrhea of ancient medical records: the syndrome of stagnation of the circulation of vital energy:(trigone, Artemisia anomala)); the syndrome of blood stasis (the root of bidentate achyranthes, red flower); the syndrome of rhizoma atractylodis (Semen Platycladi; teasel root),(Semen Platycladi, herba lycopi);Amenorrhea of morden medical records: the syndrome of blood stasis (Eupolyphaga Seu Steleophaga, leech); the syndrome of rhizoma atractylodis (he root of red-rooted salvia; Fructus Leonuri).â…¡. The laws for the use of drugs1. The laws for ancient and morden(1) The core drugs and core prescription for TCM GynecologyBoth ancient and modern,"Angelica" fully deserve is disease of Department of gynaecology (at least on uterine bleeding, amenorrhea, dysmenorrhea three diseases) core agents, the most important position;Modern medicine "Peony" position rises apparently, after angelica;Verification of the "Siwu Decoction" is "in TCM gynecology Tiaojing main party" status.(2) The status and the connection degree of the four drugs in siwu decoction is not the sameThe four drugs of Siwu Decoction, each one has his good points. Combined properly, this study found that four drugs relations on the other side: First, angelica is his medicine, but whether in Siwu Decoction and gynaecology holistic medicine, its status is far more than the monarch drug "Radix Rehmanniae preparata".Second, overall four drugs association between the degree of inconsistency, relationship between asymmetry:to correlate with the extent of the strongest chuanxiong, angelica and peony association is the worst; Angelica sinensis and Rhizoma Chuanxiong relationship is asymmetric, angelica, Chuanxiong associated to a greater extent than Chuanxiong->angelica.(3) Ancient custom, there are differences in morden and ancient custom on using drugsAncient promoting blood circulation and removing blood stasis drugs commonly used to treat as (peach, red), commonly used in modern medicine for (pollen, microscopic);Ancient use of Siwu Tang stressed that the overall composition of blood effect, less parts; modern is based on syndrome differentiation, deleted after use.(4) the study on Metrorrhagia Ancient metrorrhagia syndrome "hot" accounted for nearly three into, but medication frequency before ten without a dedicated heat treatment, the treatment of metrorrhagia, even for thermally induced collapse, it should not be too with cold products(5) the study on hyperemesis gravidarumBoth ancient and modern, treatment of hyperemesis gravidarum is the basic "two Chen" and "jupi Zhuru Tang" drug consisting mainly of modern medical records; the tuber of Pinellia and bamboo shavings medication frequency increased significantly.Both ancient and modern, doctors will Banxia as treatment of hyperemesis gravidarum to medicine, modern Pinellia medication frequency far exceeded the ancient, confirmed most of the doctors were not be Pinellia pregnancy as contraindicated drugs, but also as a treatment of hyperemesis gravidarum indispensable drug.2.The laws for the disease's locationEffect on the uterus related35kinds, respectively:Angelica, chuanxiong, radix rehmanniae, Radix Rehmanniae Preparata, cinnamon, Evodia, tree peony bark, peach seed, safflower, hyssop, pollen, microscopic, red peony root, Liu Ji Merino, Cyperus, corydalis, Qingpi, Fructus toosendan, Lindera aggregata, woody, dangshen, myrrh, Salvia miltiorrhiza, rhubarb, Fructus aurantii, teasel, trigonous, turmeric, cumin, motherwort, white peony root, tuckahoe, bupleurum root, Radix Scutellariae, mugwort leaf.Effect on kidney related38kinds, respectively is:Cuscuta chinensis, Radix Rehmanniae Preparata, radix rehmanniae, dangshen, angelica, chuanxiong, Radix Astragali, Radix Paeoniae Alba, Rhizoma Cyperi, raspberry, oyster, dogwood, yam, tree peony bark, hyssop, teasel, red peony root, ginger, mugwort leaf, madder, eucommia, bupleurum, keel, Salvia miltiorrhiza, motherwort, Eclipta alba, Herba taxilli, licorice root, donkey-hide gelatin, Radix Scutellariae, medlar, Ligustrum lucidum, Ophiopogon japonicus, tortoiseshell, Zeeland, cattail, loranthus, Scutellaria baicalensis georgi.Effect on the liver related25kinds, respectively:Radix Rehmanniae Radix Rehmanniae Preparata, Rhizoma Chuanxiong, Radix Paeoniae Alba,, Angelica sinensis, Fructus toosendan, madder, oyster, Ligustrum lucidum, Eclipta alba, Rhizoma Atractylodis Macrocephalae, peony root, tuckahoe, raspberry, licorice, Radix Scutellariae, motherwort, corydalis, yam, Cyperus, bupleurum root, red peony root, licorice, teasel, achyranthes.Effect on spleen related19kinds, respectively:Radix Astragali, Radix Paeoniae Alba, Radix Rehmanniae Preparata, radix rehmanniae, yam, bupleurum root, tangerine peel, licorice, angelica, white atractylodes rhizome, Radix Codonopsis, tuckahoe, Rhizoma Chuanxiong, radix ginseng, Radix dipsaci,, donkey-hide gelatin, Cyperus, dried ginger. Effect on heart related12kinds, respectively:Angelica, Radix Polygalae, tuckahoe, ginseng, white atractylodes rhizome, astragalus, longan meat, wild jujube, Codonopsis, Radix Rehmanniae Preparata, Radix Aucklandiae, licorice.Ancient and modern disease medication contrast, on an independent sample of the chi-square test is found, in addition to liver medicine there is a statistically significant difference between, uterus, kidney, spleen were not statistically different between. Due to a number of small heart records, heart failed to carry out.â…¢. Data mining in TCM literature research summary1.The significance of the conception "Imoprtance" in data mining on consilia analysis.The introduction of "importance" as a parameter, will remedy the limit of the association rules evalutation which only on the parameter "support" and "confidence", and it can help researchers to find out the most valueable relations, to make the theoretical result more useful of data mining in accord with the clinical, and can better reflect the nature of the relationship.2. Data mining in TCM literature research summary:A strong correlation to satisfy the following conditions:â‘ in the same degree of support, confidence and the importance of the higher;â‘¡on the rules of the former, a position A-> B,B-> A, each such rule generation.In this research process, the shortcoming of it should be noted, the first data mining research object to a certain scale, and data span to be big, small and too neat content can get ideal results.ConelusionUsing data mining technology in the syndrome factor on the basis of dialectical system, may analysis on the medical records from several levels, which gives full play to the computer technology to structured data multi-level and perspectives, strong ability to deal with the advantage that leds to the analysis of the medical records deeper, more comprehensive. The results of this study finds new drugs hidden in medical records, such as drug laws of ancient and modern fresh knowledge, which is expected to reach the purpose of knowledge discovery. In addition,on the introduction of "importance" as the association rules new reference index, the obtained result has more realistic significance.So it is a desirable method that syndrome factor dialectical system and data mining technology combines the TCM literature research, which is worth studying continue.