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Novel Approach to Cluster Patient-Generated Data Into Actionable Topics: Case Study of a Web-Based Breast Cancer Forum

机译：将患者生成数据的新方法成为可操作主题：案例研究基于Web的乳腺癌论坛

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Josette Jones; Meeta Pradhan; Masoud Hosseini; Anand Kulanthaivel; Mahmood Hosseini;
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1. Novel Approach to Cluster Patient-Generated Data Into Actionable Topics: Case Study of a Web-Based Breast Cancer Forum [J] . Josette Jones, Meeta Pradhan, Masoud Hosseini, JMIR Medical Informatics . 2018,第4期

机译：将患者生成的数据聚类为可操作主题的新方法：基于网络的乳腺癌论坛的案例研究
2. Is there alignment amongst scientific literature, news media and patient forums regarding topics?: A study of breast and lung cancer [J] . Dehdarirad Tahereh, Freer Jonathan Online Information Review . 2021,第5期

机译：在科学文学中，新闻媒体和患者论坛有关主题的一致性吗？：对乳腺癌和肺癌的研究
3. Breast Cancer Symptom Clusters Derived From Social Media and Research Study Data Using Improved K -Medoid Clustering [J] . Qing Ping, Christopher C. Yang, Sarah A. Marshall, Computational Social Systems, IEEE Transactions on . 2016,第2期

机译：来自社交媒体的乳腺癌症状群和使用改进的K-Medoid聚类的研究数据
4. Investigating a Breast Cancer Gene Expression Data Using a Novel Clustering Approach [C] . L. M. Naeni, A. Salehipour IEEE International Conference on Industrial Engineering and Engineering Management . 2019

机译：使用新型聚类方法调查乳腺癌基因表达数据
5. The case-only method for gene-environment interaction studies: The independence assumption illustrated with empirical data from the published literature and two population-based control groups, the Carolina breast cancer study and the North Carolina colon cancer study. [D] . Hodgson, M. Elizabeth. 2009

机译：基因-环境相互作用研究的仅案例方法：独立性假设由已发表的文献和两个基于人群的对照组（卡罗莱纳州乳腺癌研究和北卡罗莱纳州结肠癌研究）的经验数据说明。
6. Breast Cancer Symptom Clusters Derived from Social Media and Research Study Data Using Improved K-Medoid Clustering [O] . Qing Ping, Christopher C. Yang, Sarah A. Marshall, -1

机译：来自社交媒体的乳腺癌症状群和使用改进的K-Medoid聚类的研究数据
7. Novel Approach to Cluster Patient-Generated Data Into Actionable Topics: Case Study of a Web-Based Breast Cancer Forum (Preprint) [O] . Josette Jones, Meeta Pradhan, Masoud Hosseini, 2017

机译：将患者生成数据的新方法成为可操作主题：案例研究基于网的乳腺癌论坛（预印）

Novel Approach to Cluster Patient-Generated Data Into Actionable Topics: Case Study of a Web-Based Breast Cancer Forum

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