Date of Award

Summer 2008

Degree Type

Thesis - Restricted

Degree Name

Master of Science (MS)

Department

Mathematics, Statistics and Computer Science

First Advisor

Struble, Craig A.

Second Advisor

Liang, Mingyu

Third Advisor

Merrill, Stephen J.

Abstract

The goal of MeSH Association Viewer (MAV) is to utilize association learning to visualize and quantify relationships among physiological, disease related, and treatment related concepts. The bibliographic database MEDLINE is mined to create one-to-one association rules, while keeping track of each relationship's corresponding confidence and support. The MeSH taxonomy is utilized to create rules that represent multiple levels of abstraction. MAV's user interface returns visualizations which SiMAP's physiologists can use to create pathways backed by scientific literature.

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