Sistema de Informação para Perguntas e Respostas em Doenças Crônicas
Abstract
The search for relevant information considering medical scientific papers is a complex task due to the lack of time and the complexity of creation of queries. Therefore, this work presents a Question Answering (QA) architecture that helps healthcare professionals find related answers quickly. This framework is supported mainly by Text Mining and Information Retrieval techniques and the evaluation is using a chronic disease reference collection and performance measures. This work intents to contribute with a general QA framework architecture to be used in different medical fields.
References
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Liddy, E. D. (2001). Natural Language Processing. In Decker, M., editor, In Encyclopedia of Library and Information Science, pages 1–15. New York, New York, USA.
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Prestes, K. V. (2011). Avaliação de métodos de seleção da resposta de um sistema de perguntas e respostas. Technical report.
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Amorim, M. T. C. F. d., Cury, D., and Menezes, C. S. (2012). Um Sistema Inteligênte Baseado em Ontologia para Apoio ao esclarecimento de Dúvidas.
Arrigo, A. J. S., Silva, E. G., Martins, H. P., and Silva, P. P. (2014). Desenvolvimento de um Sistema de Pergunta e Resposta Baseado em Corpus. In 14o Congresso Nacional de Iniciação Científica (CONIC-SEMESP), pages 1–6, São Paulo, SP.
Baeza-Yates, R. and Ribeiro-Neto, B. (1999). Modern information retrieval, volume 463. ACM Press New York, 1nd edition.
Barker, D. J. P. (2001). Fetal and infant origins of adult disease. Monatsschrift Kinderheilkunde, 149(1):S2–S6.
Ben Abacha, A. and Zweigenbaum, P. (2015). MEANS: A medical question-answering system combining NLP techniques and semantic Web technologies. Information Processing & Management, 51(5):570–594.
Bhat, S., Gijo, E., and Jnanesh, N. (2016). Productivity and performance improvement in the medical records department of a hospital: An application of lean six sigma. International Journal of Productivity and Performance Management, 65(1):98–125.
Bilotti, M.W. and Nyberg, E. (2006). Evaluation for scenario question answering systems. In Proc. of the Int. Conference on Language Resources and Evaluation, pages 1–6.
Bodenreider, O. (2004). The unified medical language system (umls): integrating biomedical terminology. Nucleic acids research, 32(suppl 1):D267–D270.
Brin, S. (1999). Extracting patterns and relations from the world wide web. In Selected Papers from the International Workshop on The World Wide Web and Databases, WebDB ’98, pages 172–183, London, UK, UK. Springer-Verlag.
Cao, Y., Liu, F., Simpson, P., Antieau, L., Bennett, A., Cimino, J. J., Ely, J., and Yu, H. (2011). AskHERMES: An online question answering system for complex clinical questions. Journal of biomedical informatics, 44(2):277–88.
Cowie, J. and Lehnert, W. (1996). Information extraction. Comm. of the ACM, 39(1):80–91.
Er, N. P. and Cicekli, I. (2013). A Factoid Question Answering System Using Answer Pattern Matching. In Int. Joint Conf. on Natural Language Processing, pages 854–858.
Gupta, P. and Gupta, V. (2012). A survey of text question answering techniques. International Journal of Computer Applications, 53(4):1–8.
Kolomiyets, O. and Moens, M.-F. (2011). A survey on question answering technology from an information retrieval perspective. Information Sciences, 181(24):5412 – 5434.
Liddy, E. D. (2001). Natural Language Processing. In Decker, M., editor, In Encyclopedia of Library and Information Science, pages 1–15. New York, New York, USA.
Lin, J. and Demner-Fushman, D. (2005). Automatically evaluating answers to definition questions. In Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, pages 931–938.
Miyake, K., Hirasawa, T., Koide, T., and Kubota, T. (2012). Neurodegenerative Diseases, chapter Epigenetics in Autism and Other Neurodevelopmental Diseases, pages 91–98.
Monz, C. (2003). From document retrieval to question answering. Institute for Logic, Language and Computation.
Pollettini, J. T., Baranauskas, J. A., Ruiz, E. S., da Graça Pimentel, M., and Macedo, A. A. (2014). Surveillance for the prevention of chronic diseases through information association. BMC Medical Genomics, 7(1):1–11.
Prestes, K. V. (2011). Avaliação de métodos de seleção da resposta de um sistema de perguntas e respostas. Technical report.
Rzhetsky, A., Seringhaus, M., and Gerstein, M. (2009). Getting Started in Text Mining: Part Two. PLoS Comput Biol, 5(7):e1000411+.
Shortliffe, E. H. and Cimino, J. J. (2013). Biomedical informatics: computer applications in health care and biomedicine. Springer Science & Business Media.
Yen, S.-J., Wu, Y.-C., Yang, J.-C., Lee, Y.-S., Lee, C.-J., and Liu, J.-J. (2013). A support vector machine-based context-ranking model for question answering. Information Sciences, 224:77 – 87.
Published
2016-07-04
How to Cite
ALMANSA, Luciana; MACEDO, Alessandra.
Sistema de Informação para Perguntas e Respostas em Doenças Crônicas. In: BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTH (SBCAS), 16. , 2016, Porto Alegre.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2016
.
p. 2587-2596.
ISSN 2763-8952.
DOI: https://doi.org/10.5753/sbcas.2016.9905.
