Date of Award
2017
Publisher
North Dakota State University
Document Type
Master's Paper
Degree Awarded
Master of Science (MS)
Program
Computer Science
Department
Computer Science
College
Engineering
Faculty Advisor
Jin, Wei
Description
A lot of efforts have been made in order to make new discoveries in the biomedical filed. However, those valuable information may be hidden in text without applying appropriate text mining techniques. In this paper, I utilize MetaMap, a powerful biomedical tool provided by National Library of Medicine (NLM), along with appropriate text mining techniques, to detect hidden connections between biomedical concepts. The huge volume of Medline documents are used as data source and experimental data, where more than 20 million titles and abstracts of Medline articles are analyzed. On top of this corpus, biomedical concept queries are enabled to allow users to specify any two particular medical concepts, and the system will automatically identify potential relationships that may connect them. A graphical user interface is also developed to facilitate the search process and result presentation.
Recommended Citation
Yang, Weikang, "Finding Hidden Relationships between Medical Concepts by Leveraging Metamap and Text Mining Techniques" (2017). Computer Science. 241.
https://digitalcommons.ndsu.edu/computer-sci/241
Rights
NDSU Policy 190.6.2
Rights Link
https://www.ndsu.edu/fileadmin/policy/190.pdf
Handle Identifier
https://hdl.handle.net/10365/26368