The Use of UMLS to Enhance Surveillance Degree Recommendations for Primary Care Patients
Abstract
A rating index called “Grau de Vigilância – GV” (Surveillance Level) supports the identification of people requiring different levels of medical care. This paper investigate the use of Unified Medical Language System (UMLS) aiming to optimize results from machine learning algorithms when suggesting patient’s GV. We run experiments with patients attended by “Centro Médico Social e Comunitário de Vila Lobato” (CMSC Vila Lobato), Ribeirão Preto/SP.References
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Pollettini, J. T.; Nicolas, F. P.; Panico, S.; Daneluzzi, J. C.; Tinos, R.; Baranauskas, J. A.; Macedo, A. A.. A software architecture-based framework supporting suggestion of medical surveillance level from classification of electronic patient records. In: The 12th IEEE International Conference on Computational Science and Engineering, Vancouver-Canadá, 8p (electronically published), 2009.
Pollettini, J. T.; Panico, S.; Daneluzzi, J. C.; Tinos, R.; Baranauskas, J. A.; Macedo, A. A.. Computer-aided decision for medical surveillance level from classification of electronic patient records. Submetido ao periódico International Journal of Medical Informatics.
Pollettini, J. T.; Tinos, R.; Panico, S.; Daneluzzi, J. C.; Macedo, A. A.. Vigilância em atenção básica à saúde a partir do uso de relevance feedback para classificação de pacientes em diferentes níveis de cuidado em saúde. In: IX Workshop de Informática Médica. Anais do Congresso da Sociedade Brasileira de Computação, Bento Gonçalves - RS – Brasil, p. 1945-1954, 2009.
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Medical Informatics – Knowledge Management and Data Mining in Biomedicine, edited by H. Chen, S.S. Fuller, C. Friedman, W. Hersh. Capítulo 1: H. Chen, S.S. Fuller, C. Friedman, W. Hersh.
McCray et al., 1993; Humphreys et all.,1993; Campbell et al., 1998 Lindberg DA, Humphreys BL, McCray AT. 1993. The Unified Medical Language System. Methods Inf Med 32(4): 281–291.
Medical Informatics – Knowledge Management and Data Mining in Biomedicine, edited by H. Chen, S.S. Fuller, C. Friedman, W. Hersh. Capítulo 8: O. Bodenreider, A. Burgun.
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Russel, S. J.; Norvig, P. Métodos estatísticos de aprendizagem. Inteligência Artificial. Tradução: Vandenberg D. de Souza. 2.ed., p.690-737, 2004.
Pollettini, J. T.; Nicolas, F. P.; Panico, S.; Daneluzzi, J. C.; Tinos, R.; Baranauskas, J. A.; Macedo, A. A.. A software architecture-based framework supporting suggestion of medical surveillance level from classification of electronic patient records. In: The 12th IEEE International Conference on Computational Science and Engineering, Vancouver-Canadá, 8p (electronically published), 2009.
Pollettini, J. T.; Panico, S.; Daneluzzi, J. C.; Tinos, R.; Baranauskas, J. A.; Macedo, A. A.. Computer-aided decision for medical surveillance level from classification of electronic patient records. Submetido ao periódico International Journal of Medical Informatics.
Pollettini, J. T.; Tinos, R.; Panico, S.; Daneluzzi, J. C.; Macedo, A. A.. Vigilância em atenção básica à saúde a partir do uso de relevance feedback para classificação de pacientes em diferentes níveis de cuidado em saúde. In: IX Workshop de Informática Médica. Anais do Congresso da Sociedade Brasileira de Computação, Bento Gonçalves - RS – Brasil, p. 1945-1954, 2009.
UMLS Home Page. Disponível em: [link]
Lindberg, D. A., Humphreys, B. L., and Mc Cray, A.T. The Unified Medical Language System, Methods Inf Med 32(4):281-291
Metathesaurus. Disponível em: [link]
McCray. An upper-level ontology for the biomedical domain". Comparative and Functional Genomics Comp Funct Genom 4: 80–84, 2003.
McCrayA.; Nelson. The Representation of meaning in the UMLS. Methods Inf Med 34(1-2):193-201, 1995.
McCray A.T.; Bodenreider O. A Conceptual Framework for the Biomedical Domain. The Semantics of Relationships: An Interdisciplinary Perspective. Boston: Kluwer Academic Publishers, 181-198, 2002.
Grüninger, M.; Lee, J. Ontology Applications and Design -Introduction. Commun. ACM 45(2): 39-41, 2002.
Medical Informatics – Knowledge Management and Data Mining in Biomedicine, edited by H. Chen, S.S. Fuller, C. Friedman, W. Hersh. Capítulo 1: H. Chen, S.S. Fuller, C. Friedman, W. Hersh.
McCray et al., 1993; Humphreys et all.,1993; Campbell et al., 1998 Lindberg DA, Humphreys BL, McCray AT. 1993. The Unified Medical Language System. Methods Inf Med 32(4): 281–291.
Medical Informatics – Knowledge Management and Data Mining in Biomedicine, edited by H. Chen, S.S. Fuller, C. Friedman, W. Hersh. Capítulo 8: O. Bodenreider, A. Burgun.
Metamorphosys. Disponível: [link]
ICPC. Disponível em: [link]
Moreno-Seco, F.; Mico, L.; Oncina, J. A new classification rule based on nearest neighbour search. In: Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. v.4, p.408-411, 2004.
Russel, S. J.; Norvig, P. Métodos estatísticos de aprendizagem. Inteligência Artificial. Tradução: Vandenberg D. de Souza. 2.ed., p.690-737, 2004.
Published
2010-07-20
How to Cite
NICOLAS, Flávia Pena; POLLETTINI, Juliana Tarossi; PANICO, Sylvia G.; DANELUZZI, Julio C.; MACEDO, Alessandra Alaniz.
The Use of UMLS to Enhance Surveillance Degree Recommendations for Primary Care Patients. In: BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTH (SBCAS), 10. , 2010, Belo Horizonte/MG.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2010
.
p. 1512-1521.
ISSN 2763-8952.
