Research on the Law of Prevention of Deep Vein Thrombosis (DVT) Based on Text Mining and Doctor-Patient Interaction Forum
10.3969/j.issn.1673-6036.2017.04.014
- VernacularTitle:基于文本挖掘和医患互动论坛的深静脉血栓防治规律研究
- Author:
Yanhong LI
;
Congcong OUYANG
;
Lechun WANG
;
Jingmin OU
- Keywords:
Deep Vein Thrombosis (DVT);
Text mining;
Prevention law;
Doctor-patient interaction forum
- From:
Journal of Medical Informatics
2017;38(4):61-66
- CountryChina
- Language:Chinese
-
Abstract:
Based on the doctor-patient interaction forum of Haodaifu Online,Xunyiwenyao and Youwenbida,taking advantage of the text mining technologies and methods such as Chinese word segmentation,data cleaning and filtering,word frequency statistics,semantic network map and visualization,extract and summarize the symptoms,causes,common drugs,complications,non-drug therapy and nursing method of Deep Vein Thrombosis (DVT),the paper verifies the availability of text mining method in exploring the prevention law and method of diseases and the feasibility of application of doctor-patient interaction Q&A network data source in medical research.
