Study on Information Quality Evaluation of Internet Medical Platforms Based on Text Content Analysis
10.3969/j.issn.1673-6036.2023.11.002
- VernacularTitle:基于文本内容分析的互联网医疗平台信息质量评价研究
- Author:
Jun WANG
1
;
Tang YAO
;
Yani WANG
Author Information
1. 北京航空航天大学经济管理学院 北京 100191
- Keywords:
internet medical treatment;
information quality evaluation;
text content analysis;
logistic regression;
grey relational degree correction
- From:
Journal of Medical Informatics
2023;44(11):7-12,29
- CountryChina
- Language:Chinese
-
Abstract:
Purpose/Significance To evaluate and study the quality of information published by users of internet medical platforms u-sing text content analysis method.Method/Process The text content of typical internet medical platforms in China is obtained by Python crawler,natural language processing(NLP)and clustering analysis are performed.Feature indexes are extracted and logistic regression model and grey relational degree correction are designed to construct an information quality evaluation index system.Result/Conclusion The information release and presentation of internet medical platforms can be strengthened from the aspects of information richness,char-acteristics of information publishers and user interaction,and users can be guided to release high-quality information and quickly identi-fy valuable information,so as to promote the sustainable development of internet medical platforms.
