[1]徐憶芳,羅秀麗.基于數據挖掘的羅秀麗教授治療三陰性乳腺癌的臨床經驗研究[J].醫學信息,2019,(20):159-160.[doi:10.3969/j.issn.1006-1959.2019.20.050]
 XU Yi-fang,LUO Xiu-li.Professor Luo Xiuli's Clinical Experience in Treating Triple-negative Breast Cancer Based on Data Mining[J].Medical Information,2019,(20):159-160.[doi:10.3969/j.issn.1006-1959.2019.20.050]
點擊復制

基于數據挖掘的羅秀麗教授治療三陰性乳腺癌的臨床經驗研究()
分享到:

醫學信息[ISSN:1006-1959/CN:61-1278/R]

卷:
期數:
2019年20期
頁碼:
159-160
欄目:
中醫中藥
出版日期:
2019-10-15

文章信息/Info

Title:
Professor Luo Xiuli's Clinical Experience in Treating Triple-negative Breast Cancer Based on Data Mining
文章編號:
1006-1959(2019)20-0159-02
作者:
徐憶芳1羅秀麗12
(1.湖北中醫藥大學,湖北 武漢 430061;2.湖北省中醫院腫瘤科,湖北 武漢 430061)
Author(s):
XU Yi-fang1LUO Xiu-li2
(1.Hubei University of Traditional Chinese Medicine,Wuhan 430061,Hubei,China;2.Department of Oncology,Hubei Provincial Hospital of TCM,Wuhan 430061,Hubei,China)
關鍵詞:
數據挖掘中醫藥三陰性乳腺癌羅秀麗
Keywords:
Data miningTraditional Chinese medicineTriple negative breast cancerLuo Xiuli
分類號:
R737.9
DOI:
10.3969/j.issn.1006-1959.2019.20.050
文獻標志碼:
A
摘要:
目的 借助數據挖掘方法,客觀總結羅秀麗教授中醫藥治療三陰性乳腺癌的臨床經驗。方法 以羅秀麗教授2018年1月~12月收治的三陰乳腺癌患者68例為資料建立數據庫,借助中醫傳承輔助平臺(V2.5)的數據挖掘技術分析患者的年齡、證型、中藥四氣五味歸經的分布與用藥的關聯規律。結果 患者年齡主要集中在40~69歲(77.94%),證型以肝郁氣滯證和脾虛痰濕證為主;用藥頻次前3位的依次為甘草、鱉甲、豬殃殃;治法以清熱解毒為主,用藥以平、溫、微寒為主,少用大寒大熱之品。置信度最高的藥對為豬殃殃和鱉甲,置信度最高的藥組為天葵子、豬殃殃、鱉甲。結論 羅秀麗教授認為乳巖多與肝脾二臟有關,治療上多以清熱解毒為主,用藥時注重顧護脾胃,以甘平為主,擅長用藥對、藥組。
Abstract:
Objective To objectively summarize the clinical experience of Professor Luo Xiuli in treating triple-negative breast cancer with the help of data mining methods. Methods A total of 68 cases of effective cases of Sanyin breast cancer treated by Professor Luo Xiuli from January to December 2018 were used as data to establish a database. Data mining technology of TCM inheritance platform (V2.5) was used to analyze the treatment of triple negative breast cancer. The patient's age, syndrome type, common Chinese medicine and treatment, Chinese medicine four gas and five tastes of the distribution of the relationship with the use of drugs. Results The age of the patients was mainly concentrated in 40-69 years old (77.94%). The syndrome type was mainly caused by liver qi stagnation syndrome and spleen deficiency and dampness syndrome. The top three doses were licorice, armor and pig mites. It is mainly based on detoxification and detoxification. It is mainly used for flat, warm and slightly cold, and it is less used for big cold and hot. The most reliable drug pairs were swine fever and armor, and the most reliable drug group was Tiankuizi, piglet, and armor. Conclusion Professor Luo Xiuli believes that the milkstone is related to the liver and spleen, and the treatment is mainly based on detoxification and detoxification. When taking medicine, it pays attention to the spleen and stomach, mainly to Ganping, and is good at medication and medicine.

參考文獻/References:

[1]Saha P,Nanda R.Concepts and targets in triple-negative breast cancer:recent results and clinical implications[J].Ther Adv Med Oncol,2016,8(5):351-359. [2]朱晶.卡培他濱維持治療聯合逍遙散治療晚期三陰性乳腺癌的臨床研究[D].湖北中醫藥大學,2014. [3]宋小青,羅秀麗.柴胡疏肝散加減方治療三陰性乳腺癌的臨床觀察[J].湖北中醫雜志,2016,38(4):8-10. [4]毛靜瑜.中醫藥治療三陰性乳腺癌的Meta分析及臨床研究[D].南京中醫藥大學,2018. [5]王雪雁,楊柱,龍奉璽,等.淺談清熱解毒治則治法在腫瘤疾病中的運用[J].中醫藥臨床雜志,2018,30(8):1409-1412.

相似文獻/References:

[1]車啟富,何麗杰.中醫辨證治療老年不穩定型心絞痛的效果觀察[J].醫學信息,2018,(02):141.[doi:10.3969/j.issn.1006-1959.2018.02.053]
[2]夏能能,任 薇,杜建平,等.1953~2016年中醫藥治療高血壓領域研究熱點分析[J].醫學信息,2018,(04):18.[doi:10.3969/j.issn.1006-1959.2018.04.007]
 XIA Neng-neng,REN Wei,DU Jian-ping,et al.Analysis of Hot Spots in the Research of Traditional Chinese Medicine in Treating Hypertension from 1953 to 2016[J].Medical Information,2018,(20):18.[doi:10.3969/j.issn.1006-1959.2018.04.007]
[3]黃 婷,李紹旦,高 路,等.中醫藥防治心肌缺血再灌注損傷的研究進展[J].醫學信息,2018,(04):31.[doi:10.3969/j.issn.1006-1959.2018.04.011]
 HUANG Ting,LI Shao-dan,GAO Lu,et al.Research Progress on the Prevention and Treatment of Myocardial Ischemia and Reperfusion Injury by Traditional Chinese Medicine[J].Medical Information,2018,(20):31.[doi:10.3969/j.issn.1006-1959.2018.04.011]
[4]白 玲.基于互聯互通的區域醫療數據中心建設研究[J].醫學信息,2018,(09):26.[doi:10.3969/j.issn.1006-1959.2018.09.008]
 BAI Ling.Research on the Construction of Regional Medical Data Center Based on Connectivity[J].Medical Information,2018,(20):26.[doi:10.3969/j.issn.1006-1959.2018.09.008]
[5]楊少巖.中醫藥治療中風后抑郁的研究[J].醫學信息,2018,(11):57.[doi:10.3969/j.issn.1006-1959.2018.11.018]
 YANG Shao-yan.Study on Treatment of Post-stroke Depression with Traditional Chinese Medicine[J].Medical Information,2018,(20):57.[doi:10.3969/j.issn.1006-1959.2018.11.018]
[6]賀 佳,杜建強,聶 斌,等.智能問答系統在醫學領域的應用研究[J].醫學信息,2018,(14):16.[doi:10.3969/j.issn.1006-1959.2018.14.007]
 HE Jia,DU Jian-qiang,NIE Bin,et al.Research on the Application of Intelligent Question-answering System in Medical Field[J].Medical Information,2018,(20):16.[doi:10.3969/j.issn.1006-1959.2018.14.007]
[7]仇璐娜.慢性疲勞綜合征的中醫研究[J].醫學信息,2018,(21):48.[doi:10.3969/j.issn.1006-1959.2018.21.014]
 QIU Lu-na.TCM Research on Chronic Fatigue Syndrome[J].Medical Information,2018,(20):48.[doi:10.3969/j.issn.1006-1959.2018.21.014]
[8]葛麗艷,王 琦,朱 宏,等.基于數據挖掘分析GPR35表達對肺腺癌預后的影響[J].醫學信息,2018,(23):86.[doi:10.3969/j.issn.1006-1959.2018.23.024]
 GE Li-yan,WANG Qi,ZHU Hong,et al.The Effect of GPR35 Expression on Prognosis of Lung Adenocarcinoma was Analyzed Based on Data Mining[J].Medical Information,2018,(20):86.[doi:10.3969/j.issn.1006-1959.2018.23.024]
[9]李 偉,陳素華.妊娠期人巨細胞病毒感染的中醫藥研究進展[J].醫學信息,2019,(01):37.[doi:10.3969/j.issn.1006-1959.2019.01.013]
 LI Wei,CHEN Su-hua.Advances in Research on Traditional Chinese Medicine for Human Cytomegalovirus Infection during Pregnancy[J].Medical Information,2019,(20):37.[doi:10.3969/j.issn.1006-1959.2019.01.013]
[10]尚先寶.中醫藥防治老年骨質疏松骨折研究進展[J].醫學信息,2019,(11):45.[doi:10.3969/j.issn.1006-1959.2019.11.013]
 SHANG Xian-bao.Advances in Research on Prevention and Treatment of Senile Osteoporotic Fractures with Traditional Chinese Medicine[J].Medical Information,2019,(20):45.[doi:10.3969/j.issn.1006-1959.2019.11.013]

更新日期/Last Update: 2019-10-15
重庆时时开奖号码k线图