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Exploiting Online Discussions to Discover Unrecognized Drug Side Effects
- Source :
- Methods of Information in Medicine. 52:152-159
- Publication Year :
- 2013
- Publisher :
- Georg Thieme Verlag KG, 2013.
-
Abstract
- SummaryBackground: Drugs can treat human diseases through chemical interactions between the ingredients and intended targets in the human body. However, the ingredients could unexpectedly interact with off-targets, which may cause adverse drug side effects. Notifying patients and physicians of potential drug effects is an important step in improving healthcare quality and delivery.Objective: With the increasing popularity of Web 2.0 applications, more and more patients start discussing drug side effects in many online sources. These online discussions form a valuable source for mining interesting knowledge about side effects. The main goal of this paper is to investigate the feasibility of exploiting these discussions to discover unrecognized drug side effects.Methods: We propose methods that can 1) build a knowledge base for drug side effects by automatically integrating the in -formation related to drug side effects from different sources; and 2) monitor online discussions about drugs and discover potential unrecognized drug side effects.Results: Experiment results show that the online discussions indeed provide useful information discovering unrecognized drug side effects. We find that the integrated knowledge base contains more information than individual online sources. Moreover, both proposed detection methods can identi -fy the side effects related to the four recently recalled drugs, and the information from online discussions makes it possible to make the detection much earlier than official announcements. Finally, the proposed genera -tive modeling method is shown to be more effective than the discriminative method.Conclusions: We find that it is possible to monitor online discussions to detect un -recognized drug side effects. The developed system is expected to serve as a com -plementary tool for drug companies and FDA to receive feedbacks from the patients, and it has the potentials to expedite the discovery process of unrecognized drug side effects and to improve the quality of healthcare.
- Subjects :
- 0301 basic medicine
Drug
Drug-Related Side Effects and Adverse Reactions
media_common.quotation_subject
Health Informatics
Chemical interaction
Generative modeling
World Wide Web
Business process discovery
Pharmacovigilance
03 medical and health sciences
0302 clinical medicine
Health Information Management
Humans
Medicine
Quality (business)
media_common
Advanced and Specialized Nursing
Likelihood Functions
business.industry
030206 dentistry
Data science
030104 developmental biology
Knowledge base
Drug side effects
business
Social Media
Algorithms
Subjects
Details
- ISSN :
- 2511705X and 00261270
- Volume :
- 52
- Database :
- OpenAIRE
- Journal :
- Methods of Information in Medicine
- Accession number :
- edsair.doi.dedup.....e65ab76c9fb1cebdb6ddd6828a04c9e8