Text mining technology-based discovery of rhinitis treatment rules
10.3969/j.issn.1671-3982.2017.10.006
- VernacularTitle:基于文本挖掘技术发现鼻炎治疗规律
- Author:
hong Yan LI
1
;
yi Ya YANG
;
bing Ya ZHOU
Author Information
1. 上海财经大学信息管理与工程学院
- Keywords:
Rhinitis;
Text mining;
Dctors-patients interactive forum;
Chinese and Western drugs;
Non-drug therapy;
Knowledge discovery
- From:Chinese Journal of Medical Library and Information Science
2017;26(10):34-40
- CountryChina
- Language:Chinese
-
Abstract:
Objective To discover the treatment rules of rhinitis and its complications with or without Chinese and Western drugs using the text mining technology. Methods The treatment rules of rhinitis and its complication were discovered using Chinese text words, data cleaning, word frequency and correlation analysis respectively with CNKI-covered papers and doctors-patients interactive forum data as the sources. Results The rhinitis received Western drug therapy, traditional Chinese medicine therapy, traditional Chinese medicine preparation therapy and non-drug therapy respectively . Xanthium was often used as a folk prescription for rhinitis, Jade Screen Powder was used as an important traditional Chinese medicine reparation for rhinitis, acu-puncture and massage were used as non-drug therapies for rhinitis, immune therapy and desensitization therapy were recommended, normal saline was usually used as an adju-vant therapy. Combined traditional Chinese medicine and Western drug therapy was advised at present. The incidence of nasosinusitis was the highest, followed by that of trachi-tis, pharyngitis, tympanitis, pneumonia, etc. Their symp-toms were different and were thus treated with different drugs. Conclusion The treatment rules of rhinitis and its complication can provide reference for drug selection and basic research, verify the usability of medical network da-ta and the feasibility of text mining.
