%0期刊文章%@ 2291- 9694% I JMIR出版物%V 6%卡塔尔世界杯8强波胆分析 N 4% P e45% T将患者生成的数据聚类为可操作的主题的新方法:基于web的乳腺癌论坛案例研究% a Jones,Josette % a Pradhan,Meeta % a Hosseini,Masoud % a Kulanthaivel,Anand % a Hosseini,Mahmood %+健康信息学，印第安纳大学生物健康信息系，印第安纳波利斯，西密歇根街535号，印第安纳波利斯，IN, 46202，美国，1 3172748059，jofjons@iupui.edu %K数据解释%K自然语言处理%K患者生成信息%K社交媒体%K统计分析%K信息流行病学%D 2018 %7 29.11.2018 %9原始论文%J JMIR Med Inform %G英语%X背景:社交媒体和移动健康应用程序的使用越来越多，为医疗保健消费者提供了分享其健康和福祉信息的新机会。通过社交媒体分享的信息不仅包括医疗信息，还包括幸存者在日常生活中如何管理疾病和恢复的宝贵信息。目的:本研究的目的是确定获取一个主要的乳腺癌在线支持论坛的主题和建模的可行性。我们选择了乳腺癌患者支持论坛，以发现疾病管理和康复中隐藏的、不太明显的方面。方法:首先，采用各论坛板块的定性内容分析(QCA)进行人工主题分类。其次，我们请求Breastcancer.org社区允许对这些帖子进行更深入的分析。然后使用开源软件机器学习语言工具包进行主题建模，然后进行多元线性回归(MLR)分析，以检测不同网站论坛之间高度相关的主题。结果:论坛的QCA产生了20个用户讨论类别。 The final topic model organized >4 million postings into 30 manageable topics. Using qualitative analysis of the topic models and statistical analysis, we grouped these 30 topics into 4 distinct clusters with similarity scores of ≥0.80; these clusters were labeled Symptoms & Diagnosis, Treatment, Financial, and Family & Friends. A clinician review confirmed the clinical significance of the topic clusters, allowing for future detection of actionable items within social media postings. To identify the most significant topics across individual forums, MLR demonstrated that 6 topics—based on the Akaike information criterion values ranging from −642.75 to −412.32—were statistically significant. Conclusions: The developed method provides an insight into the areas of interest and concern, including those not ascertainable in the clinic. Such topics included support from lay and professional caregivers and late side effects of therapy that consumers discuss in social media and may be of interest to clinicians. The developed methods and results indicate the potential of social media to inform the clinical workflow with regards to the impact of recovery on daily life. %M 30497991 %R 10.2196/medinform.9162 %U http://medinform.www.mybigtv.com/2018/4/e45/ %U https://doi.org/10.2196/medinform.9162 %U http://www.ncbi.nlm.nih.gov/pubmed/30497991