Content Feature Mining of Medical Reviews and Its Impact on Patients' Utilization of Online Consultation Services
10.3969/j.issn.1673-6036.2024.07.011
- VernacularTitle:医疗评论内容特征挖掘及其对患者在线问诊服务利用的影响
- Author:
Zhilin JI
1
;
Qi YU
;
Jiao LU
;
Peifeng HE
;
Qichao GAO
Author Information
1. 山西医科大学公共卫生学院 太原 030001
- Keywords:
internet medical care;
online medical reviews;
text mining;
online consultation services
- From:
Journal of Medical Informatics
2024;45(7):62-67,102
- CountryChina
- Language:Chinese
-
Abstract:
Purpose/Significance To expound the content features of online medical reviews and its impact on the utilization of pa-tients'online consultation services,and to provide references for the information management of online medical platforms.Method/Process The LDA topic model based on TF-IDF is constructed,the semantic analysis method based on sentiment dictionary is adopted to mine the content features of online medical reviews,and the principal component analysis(PC A)is applied to classify and explore them,and the regression analysis is carried out by binary logistic.Result/Conclusion The content features of online medical reviews are divided into 3 categories,including 9 indicators.Among them,the attributes of reviewers,timeliness,consultation process,service atti-tude and platform feedback have a significant impact on the utilization of efficient online consultation services by patients.It is suggested to improve the utilization level of online consultation services by optimizing related services of online medical platform review section.
