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A Novel-Data Mining Platform to Monitor the Outcomes of Erlontinib (Tarceva) using Social Media
KTH, Skolan för teknik och hälsa (STH), Hälso- och systemvetenskap, Systemsäkerhet och organisation.
KTH, Skolan för teknik och hälsa (STH), Hälso- och systemvetenskap, Systemsäkerhet och organisation.ORCID-id: 0000-0002-1929-135X
2014 (engelsk)Inngår i: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, Springer, 2014, s. 1394-1397Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Springer, 2014. s. 1394-1397
Serie
IFMBE Proceedings, ISSN 1680-0737 ; 41
Emneord [en]
Data-mining, Graph, Self-organizing map, Social media, TF-IDF
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-139547DOI: 10.1007/978-3-319-00846-2_345Scopus ID: 2-s2.0-84891289087ISBN: 978-331900845-5 (tryckt)OAI: oai:DiVA.org:kth-139547DiVA, id: diva2:687705
Konferanse
XIII Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2013) 25-28 September 2013, Sevilla, Spain
Merknad

QC 20140204

Tilgjengelig fra: 2014-01-15 Laget: 2014-01-15 Sist oppdatert: 2014-02-04bibliografisk kontrollert

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Erlandsson, Björn-Erik

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