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Descripción
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| In the creation of diagnostic decision support systems (DDSS) it is crucial to have validated and precise knowledge in order to create accurate systems. Typically, medical experts are the source of this knowledge, but it is not always possible to obtain all the desired information from them. Another valuable source could be medical books or articles describing the diagnosis of diseases managed by the DDSS, but again, it is not easy to extract this information. In this paper we present the results of our research, in which we have used Web scraping and a combination of natural language processing techniques to extract diagnostic criteria from MedlinePlus articles about infectious diseases. | |
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Internacional
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Si |
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Nombre congreso
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International Conference on Practical Applications of Computational Biology & Bioinformatics |
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Tipo de participación
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960 |
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Lugar del congreso
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Salamanca |
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Revisores
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Si |
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ISBN o ISSN
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978-3-319-19775-3 |
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DOI
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Fecha inicio congreso
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03/06/2015 |
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Fecha fin congreso
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05/06/2015 |
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Desde la página
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79 |
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Hasta la página
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88 |
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Título de las actas
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9th International Conference on Practical Applications of Computational Biology and Bioinformatics |