Mining Patient Experiences on Web 2.0 - A Case Study in the Pharmaceutical Industry

Author

Kaiser, Carolin ; Bodendorf, Freimut

Author_Institution

Inst. of Inf. Syst., Univ. of Erlangen-Nuremberg, Nuremberg, Germany

fYear

2012

fDate

24-27 July 2012

Firstpage

139

Lastpage

145

Abstract

An increasing number of patients and family members interact online and exchange their experiences with diseases and therapies. The huge amount of online health data represents a rich source of knowledge pharmaceutical companies. The analysis of this data enables the identification of strengths and weaknesses of their drugs. An approach is presented which allows the extraction and analysis of patient experiences with drugs expressed in online reviews by combining methods coming from text mining and data mining. The approach is exemplarily applied to a data set comprising patients´ experiences with smoking deterrents.

Keywords

Internet; data mining; medical administrative data processing; patient care; text analysis; Web 2.0; data mining; knowledge pharmaceutical companies; mining patient experiences; online health data; pharmaceutical industry; text mining; Drugs; Feature extraction; Machine learning; Support vector machines; Text mining; Training data; Data Mining; Health 2.0; Internet; Opinion Mining; Patient Experiences; Text Mining;

fLanguage

English

Publisher

ieee

Conference_Titel

SRII Global Conference (SRII), 2012 Annual

Conference_Location

San Jose, CA

ISSN

2166-0778

Print_ISBN

978-1-4673-2318-5

Electronic_ISBN

2166-0778

Type

conf

DOI

10.1109/SRII.2012.114

Filename

6310990