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dc.contributor.authorYang, Weikang
dc.description.abstractA 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.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU Policy 190.6.2
dc.titleFinding Hidden Relationships between Medical Concepts by Leveraging Metamap and Text Mining Techniquesen_US
dc.typeMaster's paperen_US
dc.date.accessioned2017-08-17T14:22:11Z
dc.date.available2017-08-17T14:22:11Z
dc.date.issued2017
dc.identifier.urihttps://hdl.handle.net/10365/26368
dc.subject.lcshMedical informatics.en_US
dc.subject.lcshInformation retrieval.en_US
dc.subject.lcshData mining.en_US
dc.subject.lcshMEDLINE.en_US
dc.subject.lcshGraphical user interfaces (Computer systems)en_US
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdf
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeEngineeringen_US
ndsu.departmentComputer Scienceen_US
ndsu.programComputer Scienceen_US
ndsu.advisorJin, Wei


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