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	Effectiveness of Social Media Data in Healthcare Communication
	Nawaz, M. Saqib ; Bilal, M. ; Lali, M. IkramUllah ; Ul Mustafa, Raza ; Aslam, Waqar ; Jajja, Salman
	2017
关键词	Healthcare Twitter Opinion Mining SVM Health Communication SURVEILLANCE INFLUENZA
英文摘要	Applying opinion mining or sentiment analysis techniques on big online data for extracting useful information on any event or topic is gaining more and more interest with growing number of Internet users and recent developments in Information and Communication Technologies (ICT). In this article, we investigate how healthcare professionals (institutes and providers), general public as well as patient uses Twitter as an effective platform for spreading health related information and interaction. An approach is provided for extracting useful and critical information from health and disease related tweets. Experimentally, we train and validate the approach with Support Vector Machine (SVM) in WEKA. Our obtained results show that healthcare professionals and general public uses Twitter for interaction and as a communication tool for up-to date and vital health information exchange, acquisition and decision making.; SCI(E); SSCI; ARTICLE; 6; 1365-1371; 7
语种	英语
出处	SCI
出版者	JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/468942]
专题	数学科学学院
推荐引用方式 GB/T 7714	Nawaz, M. Saqib,Bilal, M.,Lali, M. IkramUllah,et al. Effectiveness of Social Media Data in Healthcare Communication. 2017-01-01.

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