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Mapping biomedical terms to UMLS concepts by an efficient layered dynamic programming framework

Ren, Kaiyu
http://rave.ohiolink.edu/etdc/view?acc_num=osu1398886613

Abstract Details

2014, Master of Science, Ohio State University, Computer Science and Engineering.
In research areas such as biomedical data management and analysis, mapping medical terms to standardized UMLS concepts is an essential step desired by many applications. However, existing methods and tools for handling these jobs have major limitations when querying over the UMLS Metathesaurus due to inaccurate query terms which are very common in real world applications. To practically solve this problem, we propose a layered dynamic programming mapping (LDPMap) method which is capable of efficiently processing these queries. Our empirical study shows that LDPMap performs much better in mapping inaccurate biomedical terms to UMLS concepts, in comparison with the UMLS Metathesaurus Browser and MetaMap. As a real world application, LDPMap was used in mining multiple drug interactions and reactions over Adverse Event Reporting System (AERS) by mapping drug and side effect terms to UMLS concepts. In addition, we designed a web interface to facilitate the use of LDPMap for querying single or multiple medical terms.
Yang Xiang, Dr. (Advisor)
Rajiv Ramnath, Dr. (Committee Member)
55 p.
Bioinformatics; Computer Engineering; Computer Science

Recommended Citations

Citations

  • Ren, K. (2014). Mapping biomedical terms to UMLS concepts by an efficient layered dynamic programming framework [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1398886613

    APA Style (7th edition)

  • Ren, Kaiyu. Mapping biomedical terms to UMLS concepts by an efficient layered dynamic programming framework. 2014. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1398886613.

    MLA Style (8th edition)

  • Ren, Kaiyu. "Mapping biomedical terms to UMLS concepts by an efficient layered dynamic programming framework." Master's thesis, Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1398886613

    Chicago Manual of Style (17th edition)

osu1398886613
563
© 2014, some rights reserved.Creative Commons License Mapping biomedical terms to UMLS concepts by an efficient layered dynamic programming framework by Kaiyu Ren is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.