Title :
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
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;
Conference_Titel :
SRII Global Conference (SRII), 2012 Annual
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4673-2318-5
Electronic_ISBN :
2166-0778
DOI :
10.1109/SRII.2012.114
