Font Size: a A A

Summarize Professor Wenzhen Liang’s Clinical Experience For Treating Late Menstruation Disease By Data Mining

Posted on:2016-06-12Degree:MasterType:Thesis
Country:ChinaCandidate:Y P GuoFull Text:PDF
GTID:2284330461482735Subject:TCM gynecology
Abstract/Summary:PDF Full Text Request
Late menstruation are a co mmon disease in Gynecology clinic. Its main feature is delayed more than a week or more consecutive menstrual cycles more than two or 3,5 months after menstruation push his party more than two consecutive cycles. TCM are "through late", "Moon Water belated" category. Western treatment with respect to the late side effects of menstruation many drawbacks with hormone therapy, Chinese medicine treatment late menstruation has achieved significant clinical advantages, so the latter part of C hinese medicine treatment of menstrual experience more worthwhile to speculate, mining. At present, the diagnosis and treatment of post-menstrual angle a lot, there are from kidney treatment, from the Liver, spleen, heart and other organs of governance have any from the red, blood on governance. Wenzhen Liang Professor through decades of clinical practice and gradually formed a late menstrual unique understanding and accumulated a unique treatment experience. She summed up the post-menstrual syndromes of K idney deficiency and Blood stasis to the most common type, is a key factor in the etiology of the kidney can lead to menstrual cramps on time, especially kidney yin and yang imbalance, kidney yin deficiency, it began to readjust the kidney yin and yang in the clinic the formatio n of kidney tune basal body temperature cycles combined with Western medicine dialectical thinking unique treatment in clinical and achieved good resultsObjictive: In order to better summarize and heritage Wenzhen Liang Professor’s clinical experience, this project uses a data mining approach to research. By the late Wenzhen Liang Professor clinical treatment of menstrual medical data mining, dig out the essence and academic Wenzhen Liang Professor’s clinical drug hidden in the law of attempt to dig out for the clinical application of new prescriptions.Methods:I collect 170 patients post-treatment period which are come from the First Affiliated Hospital of Anhui Medical University doctors C hurch during 2013yearAugust to2014 year January.According to the diagnostic criteria of TCM gynecology and inclusion and exclusion criteria for patients were screened. The filter out records are input the First Affiliated Hospital of Anhui University of Medical Information Bureau Xin Ling teacher to provide the "case co llection system," the text information transformed into the data, the data obtained in a further series of standardized treatment after the diagnosis, prescription, drug statistics and mining analysis, frequency tables with EXC EL descriptive statistics, symptoms and drugs, drug use and drug use Gephi0.8.2beta correlation analysis of association rules.Results:I received 170 cases of medical records, a total of 338 clinic times, maximum age, 42 years old, the smallest in 20 years, mean age 31 years, of whic h the proportion of 20 to 35 years of age in the highest 80% of the total patients. 2.As can be seen from Western diagnosis, the proportion of pure oligomenorrhea highest 71%, followed by 10% of women with polycystic ovary syndrome; 8% of premature ovarian failure, which accounted for 89% of the total three. Chronic pelvic inflammatory disease accounted for 3%, 2% of primary infertility, irregular menstruation, 3%, and the rest of the double horn together aspiring, uterine fibroids, secondary infertility, o varian cysts total 3%.3. The main emphasis on the amount of menstrual symptoms, menstrual color, with or without blood clots, premenstrual or without abdominal pain, backache, breast tenderness, etc., the goal is the most frequent symptoms of menstruation, reaching more than 60%, as the most important symptom, followed by the color of menstrual abnormalities accounted for more than 50%, followed by abdominal pain, abnormal vaginal discharge, blood clots, breast tenderness, backache. In which the amount of abnormal vaginal discharge with a blood clot in the proportion of the closest. Menstruation in Visceral Syndrome with kidney, spleen, heart-related; in blood and body fluids and blood-related syndrome in.4The highest proportion of prescriptions used in YJD 4. Accounted for using the first six of the addition and subtraction of prescription drugs derived from Yang Jing Tang parties as a basis, 69.13% of the totalamount of prescription use. Followed by Yang Jing Tang CD, network support proficient soup, Yang Jing Dao Tan Tang, Yang Jing Dao Tan Tang C D, etc.5. Involving a total of 161 herbs, a total of 4641 times the total number of C hinese medicine, the use of the drug by more than 100 times the frequency of use from more to less as follows: REHMANNIAE, angelica, medlar, dodder, Codonopsis, salvia, orange peel, Ligustrum lucidum, clear Breit, Atractylodes, peony, astragalus, Dan, yam; accounting for 49.04% using the total number of C hinese medicine; drug use 50 times more than 100 times below have root, Speranskia, triangular, Fu Shen, wormwood, white Shao, Yiyiren, tuckahoe, Amomum, Xuan Hu, Semen, Caulis, herb, potato flesh; the two accounted for using the 68.39% of the total number of C hinese medicine. Which accounted for 24.39 percent of C hinese medicine to nic drug use frequency; blood circulation drugs accounted for 27.73%, dampness and phlegm drugs accounted for 9.93%, sedative drugs accounted for 3.88%, we can see that the drug treatment late Professor Liang Wenzhen mainly in blood of menstruation stasis drug-based, and then draw their attention to academic thought stasis.6. Judging from the use of proprietary Chinese medicines, Ho created capsules using the highest proportion accounted for 70%, followed by 10% K irin pills, capsules Sanjie analgesic 6%, the same red and gold capsules and eliminate knot Liuweidihuangwan use ratio each accounted for 4%, four things agents, analgesic tablets of disease, Shiyiwei Shen Q i capsules each 2%. This shows that Professor Liang Wenzhen good at using medicine to help cure the disease, but also to see its importance kidney(tune kidney yin and yang) thinking.7. Menstruation derived from symptoms associated with drugs used drugs: Angelica, Rehmannia, wolfberry, dodder, Ligustrum lucidum, astragalus, Atractylodes, Codonopsis, yam, Dendrobium, Gui, moutan, Fu Shen, Citrus, Pinellia, Semen, Radix, Caulis, lily, Panax, TPG, dogwood, peony, Speranskia; when a blood clot commonly used drugs: Angelica, traditional C hinese medicine, Gui, moutan, red Shao, Corydalis, Puhuang, Speranskia, astragalus, Pinellia, C itrus, triangular, Salvia; abdominal pain commonly used drugs: Angelica, traditional Chinese medicine, C itrus, Pinellia,Corydalis, triangular, Salvia, Puhuang Guizhi, moutan, Speranskia, TPG, Imperatae, low back pain common: angelica, medlar, dodder, Ligustrum lucidum root, Codonopsis, Atractylodes, Astragalus, Salvia, red peony, breast tenderness are common : Angelica, traditional Chinese medicine, dried tangerine peel, herb, tree peony bark, turmeric, Passepartout, triangular, C urcuma, Vaccaria, salvia, red peony, Speranskia etc; facial acne commonly used drugs: C hrysanthemum, gardenia, Cork, Tuckahoe, skullcap, gall Southern Star, wormwood, moutan, TCS, Salvia, turmeric, etc. Finally, according to the analysis of complex network obtained core side and seven drugs right, two drug groups, as well as the relationship between symptoms and medication appears in traditional Chinese medicine group.Conclusion:Professor Wenzhen Liang treat late menstruation has unique insights. In terms of good medical consultation will argue with the dialectical combination of disease; drug administration does not rigidly stick to a flexible, good use of medicine to enhance efficacy. Through data mining results can be used as the basis of the core party late menstrual Treating clinical use addition and subtraction with the card, and the resulting drugs and symptoms of drug- group relations in medicine can be further used in the clinic.
Keywords/Search Tags:Late menstruation, Wenzhen Liang professor, Data Mining, Result Analysis
PDF Full Text Request
Related items