Study on the Thematic Characteristics of Sleep Disorders Disease Description Texts in Online Health Communities
10.3969/j.issn.1673-6036.2024.10.011
- VernacularTitle:在线健康社区中睡眠障碍疾病描述文本主题特征研究
- Author:
Panxing PANG
1
;
Cairong HE
;
Lei ZHANG
;
Jingxin CHEN
;
Rongli SHI
;
Zhongyue XU
;
Kaiyuan WENG
Author Information
1. 广东药科大学医药商学院 广州 510006
- Keywords:
online consultation;
sleep disorders;
latent Dirichlet allocation(LDA)model;
characteristics of themes
- From:
Journal of Medical Informatics
2024;45(10):59-64
- CountryChina
- Language:Chinese
-
Abstract:
Purpose/Significance Disease description texts are analyzed to reach a deeper understanding of the current status of on-line consultations for sleep disorders and the thematic characteristics of users with sleep disorders.Method/Process Data about sleep dis-orders from"haodf.com"website is collected by using a web crawler.Furthermore,the main themes about patients'description are i-dentified by the latent Dirichlet allocation(LDA)model.Result/Conclusion The departments of sleep disorders are more dispersed,and the main treatment is drug therapy.Online consultations could improve 83.2％of patients'condition.The themes of patients's disease descriptions include medication and consultation,external environment,description of symptoms,surrogate questions and causes.It is suggested that the platform and doctors should pay attention to the prognosis of patients'medication and mental health status,and pay at-tention to the popularization of comorbidities.
