Electronic Theses and Dissertations

Identifier

284

Author

Vida Abedi

Date

2011

Date of Award

4-19-2011

Document Type

Thesis

Degree Name

Master of Science

Major

Bioinformatics

Committee Chair

Mohammed Yeasin

Committee Member

Ramin Homayouni

Committee Member

Ebenezer Olusegun George

Committee Member

Robert Williams

Abstract

The aim of this study is to develop scalable and efficient literature-mining framework for knowledge discovery in the field of medical and biological sciences. Using this scalable framework, customized disease-disease interaction network can be constructed. Features of the proposed network that differentiate it from existing networks are its 1) flexibility in the level of abstraction, 2) broad coverage, and 3) domain specificity. Empirical results for two neurological diseases have shown the utility of the proposed framework. The second goal of this study is to design and implement a bottom-up information retrieval approach to facilitate literature-mining in the specialized field of medical genetics. Experimental results are being corroborated at the moment.

Comments

Data is provided by the student.

Library Comment

dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.

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