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Towards personalized health profiling in social network

机译：对社交网络中的个性化健康分析

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E-Health industry is expanding considerably due to its effectiveness and efficiency in providing better healthcare services. The concern to get personalized information at one's doorstep is on the rise and social media is filling the gap by connecting users and sharing information. Personalized healthcare information in social media has become the cornerstone, allowing us to investigate innovative ways to effectively utilize its needs. The proposed approach discovers and uses personalized healthcare concepts by analyzing user posts on social networks. The analysis highlights the discrepancies in managing ones health and provides guidelines to overcome them. Methodology includes building user profile by identifying user related topics, emotions and health conditions. We investigated 6000 tweets for diabetic information however, our experimental data-set includes about 4000 tweets as we filtered out unwanted tweets. Smart Clinical Decision Support System (smart CDSS) service utilizes the results generated by our experiment.
机译：由于其提供了更好的医疗保健服务，E-Health行业正在扩展很大扩展。在一个人的家门口获得个性化信息的关注是上升，社交媒体通过连接用户和共享信息来填补差距。社交媒体中的个性化医疗保健信息已成为基石，允许我们调查创新的方法，以有效利用其需求。通过在社交网络上分析用户帖子，拟议的方法发现并使用个性化的医疗保健概念。分析突出了管理健康的差异，并提供克服它们的指导方针。方法包括通过识别用户相关主题，情绪和健康状况来构建用户配置文件。我们调查了6000个糖尿病信息推文，但我们的实验数据集包括大约4000个推文，因为我们过滤了不需要的推文。智能临床决策支持系统（智能CDSS）服务利用我们的实验产生的结果。

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