A Novel-Data Mining Platform to Monitor the Outcomes of Erlontinib (Tarceva) using Social Media
2014 (English)In: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, Springer, 2014, 1394-1397 p.Conference paper (Refereed)
A novel data-mining method was developed to gauge the experiences of the oncology drug Tarceva. Self-organizing maps were used to analyze forum posts numerically to infer user opinion of drug Tarceva. The result is a word list compilation correlating positive and negative word cluster groups and a web of influential users on Tarceva. The implica-tions could open new research avenues into rapid data collec-tion, feedback, and analysis that would enable improved solu-tions for public health.
Place, publisher, year, edition, pages
Springer, 2014. 1394-1397 p.
, IFMBE Proceedings, ISSN 1680-0737 ; 41
Data-mining, Graph, Self-organizing map, Social media, TF-IDF
Health Care Service and Management, Health Policy and Services and Health Economy
IdentifiersURN: urn:nbn:se:kth:diva-139547DOI: 10.1007/978-3-319-00846-2_345ScopusID: 2-s2.0-84891289087ISBN: 978-331900845-5OAI: oai:DiVA.org:kth-139547DiVA: diva2:687705
XIII Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2013) 25-28 September 2013, Sevilla, Spain
QC 201402042014-01-152014-01-152014-02-04Bibliographically approved