期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2016
卷号：5
期号：4
页码：1244-1247
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Social media becomes an increasingly essential tool for reaching patients and it allows to interact with patient population in real time on a more private level. Patients engage with health care organizations on social media with the anticipation that they will receive a friendly and helpful response. But to respond quickly and accurately, it's best to have responses to address common questions, comments and concerns. This paper describes some data mining techniques which concerns text mining to analyze unstructured text content. Text and structural data mining of network and social media provides a new disease surveillance resource and can identify online communities for targeted open health communications to promise wide dissemination of pertinent information. Text mining is shown to recognize trends in flu posts that associate to real-world influenza -like illness patient report data. Social media, a communication boon for the public health community has the potential to support and change many health-related behaviours and issues particularly in times of crisis.
关键词：Data mining; health informatics; ; graph-based data mining; web and social media; social ; network analysis.
