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A Novel-Data Mining Platform to Monitor the Outcomes of Erlontinib (Tarceva) using Social Media
KTH, School of Technology and Health (STH), Health Systems Engineering, Systems Safety and Management.
KTH, School of Technology and Health (STH), Health Systems Engineering, Systems Safety and Management.ORCID iD: 0000-0002-1929-135X
2014 (English)In: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, Springer, 2014, 1394-1397 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.
Series
IFMBE Proceedings, ISSN 1680-0737 ; 41
Keyword [en]
Data-mining, Graph, Self-organizing map, Social media, TF-IDF
National Category
Health Care Service and Management, Health Policy and Services and Health Economy
Identifiers
URN: urn:nbn:se:kth:diva-139547DOI: 10.1007/978-3-319-00846-2_345Scopus ID: 2-s2.0-84891289087ISBN: 978-331900845-5 (print)OAI: oai:DiVA.org:kth-139547DiVA: diva2:687705
Conference
XIII Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2013) 25-28 September 2013, Sevilla, Spain
Note

QC 20140204

Available from: 2014-01-15 Created: 2014-01-15 Last updated: 2014-02-04Bibliographically approved

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Erlandsson, Björn-Erik

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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