Detecting Drug Safety Signals from Social Media

Detecting adverse drug reactions from analyzing social media and consumer health content

 

PAGE SUMMARY

Researchers in Drexel’s College of Computing & Informatics have developed a system that extracts consumer health data from social media, such as the MedHelp website message boards.  An analysis tool detects the association between prescribed drugs and side effects or adverse drug reactions, along with the measurement correlation strength.  Because the current method of monitoring drug safety is through a self-reporting system to the FDA, the amount of data received by the regulatory agency is limited.  By expanding monitoring to online patient-driven sites, more information can be readily captured.  In related work, the researchers have developed algorithms for identifying off-label drug uses and drug repositioning based on online consumer data and constructing a heterogeneous healthcare network.  The software can be deployed as a standalone application or directly on the web.

 

APPLICATIONS

TITLE: Applications

 

Discover adverse drug reactions

Data mining for off-label uses of prescribed drugs

Drug repositioning to find new uses for existing drugs on market

Continued investigations of drug safety and efficacy

 

ADVANTAGES

TITLE:Advantages

 

Monitor adverse drug reactions that are not reported to FDA through social media

Expand dataset for post-marketing surveillance

Pathway for clinical innovation by pharmaceutical companies to find new uses for prescription drugs

Reduce cost of initial research to reposition developed drugs for new disease targets

 

IP STATUS

Intellectual Property and Development Status

Copyright

 

 

PUBLICATIONS

References

 

Yang C.C. and Zhao M.  Determining associations with word embedding in heterogeneous network for detecting off-label drug uses.  Proceedings of IEEE International Conference on Healthcare Informatics, 2017.

 

Zhao M. and Yang C.C.  Automated off-label drug use detection from user generated content.  Proceedings of the ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, 2017.

 

Contact Information:

Tanvi Muni, PhD

Licensing Manager,

Drexel Applied Innovation

Office of Research and Innovation

3250 Chestnut Street, Ste. 3010
Philadelphia, PA 19104

Phone:267-359-5640

Email:tanvi.muni@drexel.edu

Patent Information: