...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Thoracic Disease >Medication regularity of pulmonary fibrosis treatment by contemporary traditional Chinese medicine experts based on data mining
【24h】

Medication regularity of pulmonary fibrosis treatment by contemporary traditional Chinese medicine experts based on data mining

机译：基于数据挖掘的现代中医专家肺纤维化治疗的药物规律

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Background: Treatment of pulmonary fibrosis by traditional Chinese medicine (TCM) has accumulated important experience. Our interest is in exploring the medication regularity of contemporary Chinese medical specialists treating pulmonary fibrosis. Methods: Through literature search, medical records from TCM experts who treat pulmonary fibrosis, which were published in Chinese and English medical journals, were selected for this study. As the object of study, a database was established after analysing the records. After data cleaning, the rules of medicine in the treatment of pulmonary fibrosis in medical records of TCM were explored by using data mining technologies such as frequency analysis, association rule analysis, and link analysis. Results: A total of 124 medical records from 60 doctors were selected in this study; 263 types of medicinals were used a total of 5,455 times; the herbs that were used more than 30 times can be grouped into 53 species and were used a total of 3,681 times. Using main medicinals cluster analysis, medicinals were divided into qi-tonifying, yin-tonifying, blood-activating, phlegm-resolving, cough-suppressing, panting-calming, and ten other major medicinal categories. According to the set conditions, a total of 62 drug compatibility rules have been obtained, involving mainly qi-tonifying, yin-tonifying, blood-activating, phlegm-resolving, qi-descending, and panting-calming medicinals, as well as other medicinals used in combination. Conclusions: The results of data mining are consistent with clinical practice and it is feasible to explore the medical rules applicable to the treatment of pulmonary fibrosis in medical records of TCM by data mining.
机译：背景：通过中医（TCM）治疗肺纤维化积累了重要的经验。我们的兴趣是探索当代中国医学专家治疗肺纤维化的药物规律。方法：通过文献搜索，针对本研究选择了治疗肺纤维化的TCM专家的医疗记录，为本研究。作为研究对象，在分析记录后建立了一个数据库。在数据清理后，利用频率分析，关联规则分析和链路分析等数据挖掘技术，探索了在中医治疗中医肺纤维化的医学规则。结果：在本研究中选择了60名医生的124名医疗记录; 263种药用的药用总共使用5,455次;使用超过30次的草药可以分为53种，共计3,681次。使用主要的药物聚类分析，药用分为齐调，阴阴，血液活化，痰拆分，咳嗽抑制，喘气，以及十种其他主要药物类别。根据设定的条件，已经获得了62种药物兼容规则，主要涉及齐调，阴粘性，血液活化，痰解，齐 - 下降和喘气的药物，以及其他药物结合使用。结论：数据挖掘的结果与临床实践一致，探讨了通过数据采矿治疗中医患者肺纤维化的医疗规则是可行的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号