A Novel Data-Mining Platform to Monitor the Outcomes of Erlontinib (Tarceva) Using Social Media

机译：一种新的数据挖掘平台，用于使用社交媒体监控erlontinib（Tarceva）的结果

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A novel data-mining method was developed to gauge the experiences of the oncology drug Tarceva. Self-organizing maps were used to analyze forum posts numerically to infer user opinion of drug Tarceva. The result is a word list compilation correlating positive and negative word cluster groups and a web of influential Users on Tarceva. The implica-tions could open new research avenues into rapid data collec-tion, feedback, and analysis that would enable improved solu-tions for public health.

机译：开发了一种新型数据采矿方法来衡量肿瘤药物Tarceva的经验。自组织地图用于数值分析论坛帖子，以推断出药物Tarceva的用户意见。结果是单词列表编译关联正面和负字集群组以及Tarceva上有影响的用户网络。 Implica-Tiach可以将新的研究途径开放到快速数据集中，反馈和分析中，以改善公共卫生的解决方案。

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《Mediterranean Conference on Medical and Biological Engineering and Computing》|2013年||共4页
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A. Akay; A. Dragomir; B.E. Erlandsson;
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中图分类生物医学工程;
关键词
Social Media; Self-Organizing Map; Data-Mining; TF-IDF; Graph.;

机译：社交媒体;自组织地图;数据挖掘;tf-idf;图形。;

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4. A Novel Data-Mining Platform to Monitor the Outcomes of Erlontinib (Tarceva) Using Social Media [C] . A. Akay, A. Dragomir, B.E. Erlandsson Mediterranean Conference on Medical and Biological Engineering and Computing . 2013

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A Novel Data-Mining Platform to Monitor the Outcomes of Erlontinib (Tarceva) Using Social Media

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