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Descripción
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| Head and Neck Cancer (H&NC) is one of the most complex and difficult cancers in terms of treatment and prognosis. Decision Support Systems (DSS) are currently used in several aspects of the clinical practice, however in few cases they have been used to improve decision making process of H&NC. In this paper we propose a DSS conceptual architecture, which allow to use both traditional methods (e.g. clinical guidelines and survival analyses) and sophisticated techniques (e.g. computer models for prediction and knowledge discovery). | |
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Internacional
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No |
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Nombre congreso
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IEEE Biomedical and Health Informatics (BHI'18) |
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Tipo de participación
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970 |
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Lugar del congreso
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Las Vegas, NV, USA |
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Revisores
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Si |
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ISBN o ISSN
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DOI
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Fecha inicio congreso
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04/03/2018 |
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Fecha fin congreso
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07/03/2018 |
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Título de las actas
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IEEE Biomedical and Health Informatics (BHI'18) |