Technologies in available biomedical repositories do not yet provide adequate mechanisms to support the understanding and analysis of the stored content. In this project we investigate this problem under different perspectives. Our contribution is the design of computational solutions for the analysis of biomedical documents and images. These integrate sophisticated technologies and innovative approaches of Information Extraction, Data Mining and Machine Learning to perform descriptive tasks of knowledge discovery from biomedical repositories.

MBlab: Molecular Biodiversity Laboratory

LOGLISCI, CORRADO;APPICE, ANNALISA;CECI, MICHELANGELO;MALERBA, Donato;ESPOSITO, Floriana
2011

Abstract

Technologies in available biomedical repositories do not yet provide adequate mechanisms to support the understanding and analysis of the stored content. In this project we investigate this problem under different perspectives. Our contribution is the design of computational solutions for the analysis of biomedical documents and images. These integrate sophisticated technologies and innovative approaches of Information Extraction, Data Mining and Machine Learning to perform descriptive tasks of knowledge discovery from biomedical repositories.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/112454
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