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Integration of Clinical and Genomic Data for Decision Support in Cancer
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Author(s): Yorgos Goletsis (University of Ioannina, Greece), Themis P. Exarchos (University of Ioannina, Greece), Nikolaos Giannakeas (University of Ioannina, Greece), Markos G. Tsipouras (University of Ioannina, Greece)and Dimitrios I. Fotiadis (University of Ioannina, Greece, and Michaelideion Cardiology Center, Greece & Biomedical Research Institute, Greece)
Copyright: 2008
Pages: 9
Source title:
Encyclopedia of Healthcare Information Systems
Source Author(s)/Editor(s): Nilmini Wickramasinghe (Illinois Institute of Technology, USA)and Eliezer Geisler (Illinois Institute of Technology, USA)
DOI: 10.4018/978-1-59904-889-5.ch097
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Abstract
In this article, we address decision support for cancer by exploiting clinical data and identifying mutations on tumour suppressor genes. The goal is to perform data integration between medicine and molecular biology by developing a framework where clinical and genomic features are appropriately combined in order to handle cancer diseases. The constitution of such a decision support system is based on (a) cancer clinical data and (b) biological information that is derived from genomic sources. Through this integration, real time conclusions can be drawn for early diagnosis, staging and more effective cancer treatment.
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