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Descripción
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| BigdataapplicationsintheHealthcaresectorindicateahigh potential for improving the overall efficiency and quality of care delivery. Health data analytics highly relies on the availability of Electronic Health Records (EHRs). The complexity of healthcare information management is not only due to the amount of data generated but also by its diver- sity and the challenges of extracting knowledge from unstructured data. Solutions have not proposed until now an integrated solution to process, mine and extract knowledge. In this paper we propose an architecture, TIDA, to deal in an integrated way with all the information contained in EHR. TIDA (Text, Image and Data Analytics) makes it possible to address the problem of Spanish text indexing in the healthcare domain by adapting different techniques and technologies, besides components have been included to deal with image segmentation. | |
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Internacional
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Si |
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Nombre congreso
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International Workshop on Big Data Applications and Principles |
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Tipo de participación
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960 |
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Lugar del congreso
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Madrid |
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Revisores
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Si |
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ISBN o ISSN
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84-15302-94-0 |
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DOI
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Fecha inicio congreso
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11/09/2014 |
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Fecha fin congreso
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12/09/2014 |
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Desde la página
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1 |
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Hasta la página
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15 |
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Título de las actas
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Big Data Applications and Principles |