NDLI: A novel data-mining platform leveraging social media to monitor outcomes of Januvia

Content Provider	IEEE Xplore Digital Library
Author	Akay, A. Dragomir, A. Erlandsson, B.-E.
Copyright Year	2013
Description	Author affiliation: Sch. of Technol. & Health, R. Inst. of Technol., Huddinge, Sweden (Akay, A.; Erlandsson, B.-E.) \|\| Dept. of Biomed. Eng., Univ. of Houston, Houston, TX, USA (Dragomir, A.)
Abstract	A novel data-mining method was developed to gauge the experiences of the diabetes mellitus drug Januvia. Self-organizing maps were used to analyze forum posts numerically to infer user opinion of drug Januvia. Graph theory was used to discover influential users. The result is a word list compilation correlating positive and negative word cluster groups and a web of influential users on Januvia. The implications could open new research avenues into rapid data collection, feedback, and analysis that would enable improved solutions for public health.
Starting Page	7484
Ending Page	7487
File Size	647533
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6611289
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vectors Data mining Drugs Social network services Indexes Media Neurons
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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A novel data-mining platform leveraging social media to monitor outcomes of Januvia