Extracting diagnostic knowledge from MedLine Plus: a comparison between MetaMap and cTAKES Approaches
2015
The development of diagnostic decision support systems (DDSS) requires having a reliable and
consistent knowledge base about diseases and their symptoms, signs and diagnostic tests. Physicians are
typically the source of this knowledge, but it is not always possible to obtain all the desired information from
them. Other valuable sources are medical books and articles describing the diagnosis of diseases, but again, extracting this
information is a hard and time-consuming task. In this paper we present the results of our research, in which we have used
Web scraping, natural language processing techniques, a variety of publicly available sources of diagnostic knowledge
and two widely known medical concept identifiers, MetaMap and cTAKES, to extract diagnostic criteria for infectious
diseases from MedLine Plus articles. A performance comparison of MetaMap and cTAKES is also presented.
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