论文标题
挖掘社交媒体数据的生物医学信号和与健康相关的行为
Mining social media data for biomedical signals and health-related behavior
论文作者
论文摘要
社交媒体数据已越来越多地用于研究生物医学和健康相关现象。从对条件的队列讨论到情感的行星水平分析，社交媒体为科学家提供了前所未有的数据，以研究与各种健康状况和医疗治疗相关的人类行为和反应。在这里，我们回顾了针对生物医学，流行病学和社会现象信息的最新工作，与人类健康的多层次复杂性有关。我们特别关注社交媒体数据分析显示最大进展的主题，包括药物宣传，尤其是心理健康和其他领域的情感分析。我们还讨论了社交媒体数据的各种创新用途，用于与健康相关的应用程序以及社交媒体数据访问和使用的重要限制。
Social media data has been increasingly used to study biomedical and health-related phenomena. From cohort level discussions of a condition to planetary level analyses of sentiment, social media has provided scientists with unprecedented amounts of data to study human behavior and response associated with a variety of health conditions and medical treatments. Here we review recent work in mining social media for biomedical, epidemiological, and social phenomena information relevant to the multilevel complexity of human health. We pay particular attention to topics where social media data analysis has shown the most progress, including pharmacovigilance, sentiment analysis especially for mental health, and other areas. We also discuss a variety of innovative uses of social media data for health-related applications and important limitations in social media data access and use.
