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Baixar Al Casillas Pdf Em Portugues

In a previous study on the drug interaction extraction and population health management, Casillas et al. [ 18 ] adopted the NegEx and the Negation_of relations to annotate patient information from EHRs, but at the time, there was no rule-based technique to extract patient-related information to obtain a unique corpus in pt-br. Using both the NegEx and the Negation_of relations is a research focus that might be interesting in future studies to identify the patient-related information, such as patient medication and outcome. To aid the transformation of clinical text into structured electronic health records, the EHR formalism was established, as well as some common terminologies, such as SNOMED CT, RxNorm, and Medical Dictionary for Regulatory Activities (MedDRA). Using the abovementioned standards and terminologies will be a good approach for establishing a common user interface, which is not possible to achieve in the absence of a uniform language and common standards. The emergence of alternative languages, such as the new Brazilian Portuguese, also paves the way to the development of a new pipeline for data curation.

In addition, as a reference corpus, the corpus has the potential to be used in not only the clinical NLP field, but also the semantic web and biomedical domain. For example, at the time of writing, the corpus has a vast number of negative relations that can be used to create a pipeline for conceptual similarity-based literature search. In this case, the corpus can be used to compare literature across databases and to ensure the quality of the PubMed literature search. There are also opportunities for the use of the corpus to compare the content with the Medical Subject Headings (MeSH) of EBI. The MeSH are derived from the controlled vocabulary thesaurus of the National Library of Medicine (NLM), which are an important source of information for scientific research. Casillas et al. [ 23 ] and Zavala et al. [ 24 ] have used the PTB and the MeSH respectively, to extract concepts and relations present in several corpora.

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