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Topic modeling: a novel approach to drug repositioning using metadata

Bogard, Britney A

Abstract Details

2014, MS, University of Cincinnati, Engineering and Applied Science: Computer Science.
The expense of researching and developing new drugs is growing and restricting our opportunities to treat people effectively. Drug repositioning offers a less expensive and more effective opportunity for new treatments of various diseases. Current approaches to drug repositioning generally include assessing similarity between drugs or diseases separately. This study presents the novel idea that comparing scientific meta-data between drugs and illnesses to show similarity in the form of shared scientific concepts can be expanded to effectively introduce new drug-disease indication pairs. This is achieved using topic modeling on data extracted from online disease and drug databases and publication abstracts. Drug-disease pairs that share topics highly were derived from topic modeling results to compare to known indications to assess the accuracy of the approach. Due to limitations that could not be mitigated in the methods used, the results were not conclusive but the high potential of this approach is recognized and suggestions for further research improvements are explained.
Anca Ralescu, Ph.D. (Committee Chair)
Anil Jegga, D.V.M. M.Res. (Committee Member)
Fred Annexstein, Ph.D. (Committee Member)
29 p.

Recommended Citations

Citations

  • Bogard, B. A. (2014). Topic modeling: a novel approach to drug repositioning using metadata [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1415625843

    APA Style (7th edition)

  • Bogard, Britney. Topic modeling: a novel approach to drug repositioning using metadata. 2014. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1415625843.

    MLA Style (8th edition)

  • Bogard, Britney. "Topic modeling: a novel approach to drug repositioning using metadata." Master's thesis, University of Cincinnati, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1415625843

    Chicago Manual of Style (17th edition)