MELHORIA DE PROCESSOS DE GESTÃO EM SAÚDE PÚBLICA: EXTRAÇÃO AUTOMÁTICA DE CONHECIMENTO E BUSCA SEMÂNTICA DE DOCUMENTOS NÃO ESTRUTURADOS
DOI:
https://doi.org/10.15628/empiricabr.2017.6859Palavras-chave:
Mineração de Texto, Gestão em Saude, Busca SemânticaResumo
Este artigo apresenta a ferramenta XMeaning, que é um mecanismo para extração de conhecimento e busca semântica de documentos textuais relacionados, bem como a sua utilização no segmento de saúde, visando a melhoria de processos. Além de seus componentes internos, também são detalhados o funcionamento interno e aspectos operacionais de integração à aplicações web diversas, que manipulam repositórios de documentos em linguagem natural.Referências
MILLER, George A.; CHARLES, Walter G. Contextual correlates of semantic similarity. Language and cognitive processes, v. 6, n. 1, p. 1-28, 1991.
TAN, Ah-Hwee et al. Text mining: The state of the art and the challenges. In: Proceedings of the PAKDD 1999 Workshop on Knowledge Disocovery from Advanced Databases. sn, 1999. p. 65-70.
BERRY, Michael W.; CASTELLANOS, Malu. Survey of text mining II. New York: Springer, 2008.
MINER, Gary. Practical text mining and statistical analysis for non-structured text data applications. Academic Press, 2012.
RAJA, Uzma et al. Text mining in healthcare. Applications and opportunities. J Healthc Inf Manag, v. 22, n. 3, p. 52-6, 2008.
KOH, Hian Chye et al. Data mining applications in healthcare. Journal of healthcare information management, v. 19, n. 2, p. 65, 2011.
AGGARWAL, Charu C.; ZHAI, ChengXiang (Ed.). Mining text data. Springer Science & Business Media, 2012.
TOMAR, Divya; AGARWAL, Sonali. A survey on Data Mining approaches for Healthcare. International Journal of Bio-Science and Bio-Technology, v. 5, n. 5, p. 241-266, 2013.
HOTHO, Andreas; NÜRNBERGER, Andreas; PAAß, Gerhard. A brief survey of text mining. In: Ldv Forum. 2005. p. 19-62.
GANTZ, John; REINSEL, David. The digital universe in 2020: Big data, bigger digital shadows, and biggest growth in the far east. IDC iView: IDC Analyze the future, v. 2007, n. 2012, p. 1-16, 2012.
VALIPOUR, Mohammad Hadi et al. A brief survey of software architecture concepts and service oriented architecture. In: Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on. IEEE, 2009. p. 34-38.
MILANOVIC, Nikola. Contract-based web service composition framework with correctness guarantees. In: ISAS. 2005. p. 52-67.
CHRISTENSEN, Jason H. Using RESTful web-services and cloud computing to create next generation mobile applications. In: Proceedings of the 24th ACM SIGPLAN conference companion on Object oriented programming systems languages and applications. ACM, 2009. p. 627-634.
BELIGA, Slobodan; MEŠTROVI?, Ana; MARTIN?I?-IPŠI?, Sanda. An overview of graph-based keyword extraction methods and approaches. Journal of information and organizational sciences, v. 39, n. 1, p. 1-20, 2015.
RODRIGUEZ-MURO, Mariano; KONTCHAKOV, Roman; ZAKHARYASCHEV, Michael. Ontology-based data access: Ontop of databases. In: International Semantic Web Conference. Springer, Berlin, Heidelberg, 2013. p. 558-573.
HASAN, Kazi Saidul; NG, Vincent. Conundrums in unsupervised keyphrase extraction: making sense of the state-of-the-art. In: Proceedings of the 23rd International Conference on Computational Linguistics: Posters. Association for Computational Linguistics, 2010. p. 365-373.
