Soft Statistical Decision Fusion for Distributed Medical Data on Grids

Soft Statistical Decision Fusion for Distributed Medical Data on Grids

Yu Tang (Georgia State University, USA)
DOI: 10.4018/978-1-60566-050-9.ch187
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Abstract

This chapter introduces the decision fusion as a means of exploring information from distributed medical data. It proposes a new method of applying soft data fusion algorithm on the grid to analyze massive data and discover meaningful and valuable information. It could potentially help to better understand and process medical data and provide high-quality services in patient diagnosis and treatment. It allows incorporation of multiple physicians into one single case to recover and resolve problems, and integration of distributed data sources overcome some limitations of geographical locations to share knowledge and experience based on the soft data and decision fusion approach.

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