Diagnostic Knowledge Extraction from MedlinePlus: An Application for Infectious Diseases View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015

AUTHORS

Alejandro Rodríguez-González , Marcos Martínez-Romero , Roberto Costumero , Mark D. Wilkinson , Ernestina Menasalvas-Ruiz

ABSTRACT

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. More... »

PAGES

79-87

Book

TITLE

9th International Conference on Practical Applications of Computational Biology and Bioinformatics

ISBN

978-3-319-19775-3
978-3-319-19776-0

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-19776-0_9

DOI

http://dx.doi.org/10.1007/978-3-319-19776-0_9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1045086146


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