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Modeling and Inference Based on the Semantics of Monitoring of Human Vital Signs

Published: 18 November 2014 Publication History

Abstract

This paper contributes with a knowledge representation model of the human vital sign monitoring activity based on Semantic Web specifications for ontologies and Horn-like rules. The proposed model is founded in interviews with intensive care units professionals, medical and nursing literature, and the reuse of existing ontologies. As a result, this work contributes with an ontology describing vital signs, actors and temporal information involved in monitoring, a set of requirements underlying to that model, and dozens of Horn-like rules describing alarms and the respective abnormal values for each vital sign.

References

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Bastos, A.B. 2013. Uma abordagem ontológica baseada em informações de contexto para representação de conhecimento de monitoramento de sinais vitais humanos. Dissertação de Mestrado. Instituto de Informática da UFG.
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Copetti, A., Leite, J.C.B., Loques, O., and Neves, M.F. 2013. A decision-making mechanism for context inference in pervasive healthcare environments. Decision Support Systems. 55, 1, 528--537.
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de Cardiologia, S.B., de Hipertensão, S.B., and de Nefrologia, S.B. 2010. VI Diretrizes Brasileiras de Hipertensão. Arq. Bras. Cardiol. 95, 1, 1--51.
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Goldfain, A., Smith, B., Arabandi, S., Brochhausen, M., and Hogan, W.R. 2011. Vital sign ontology. Workshop on Bio-Ontologies, ISMB, Vienna, 71--74.
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Gonçalves, B., Guizzardi, G., and Pereira Filho, J.G. 2011. Using an ECG reference ontology for semantic interoperability of ECG data. Journal of Biomedical Informatics. 44, 1, 126--136.
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Noy, N.F. and McGuinness, D.L. 2001. Ontology development 101: A guide to creating your first ontology. Stanford Knowledge Systems Laboratory TR KSL-01-05.
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Porto, C.C. and Porto, A.L. 2009. Semiologia Médica. Guanabara Koogan, Rio de Janeiro.
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Potter, P.A., Perry, A.G., Hall, A.A., and Stockert, P.A. 2013. Fundamentos de Enfermagem. Elsevier.
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Sizilio, G.R.A., Neto, A.D.D., Valentim, R.A.M., Guerreiro, A.M.G., and Leite, C.R.M. 2011. A fuzzy model for processing and monitoring vital signs in ICU patients. BioMedical Engineering Online. 10, 1.
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Sousa, J.P.P., Carrapatoso, E., Fonseca, B., Pimentel, M.G.C., and Bulcão Neto, R.F. 2009. Composition of context-aware mobile services using a semantic context model. Int. Journal of Advances in Software. 2, 1, 275--287.

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  • (2016)A Solution to Discard Context Information using Metrics, Ontology and Fuzzy LogicProceedings of the 22nd Brazilian Symposium on Multimedia and the Web10.1145/2976796.2976849(31-38)Online publication date: 8-Nov-2016

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  1. Modeling and Inference Based on the Semantics of Monitoring of Human Vital Signs

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    WebMedia '14: Proceedings of the 20th Brazilian Symposium on Multimedia and the Web
    November 2014
    256 pages
    ISBN:9781450332309
    DOI:10.1145/2664551
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 18 November 2014

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    Author Tags

    1. monitoring
    2. owl
    3. semantic web
    4. swrl
    5. vital sign

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    WebMedia'14
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    • SBC
    WebMedia'14: 20th Brazilian Symposium on Multimedia and the Web
    November 18 - 21, 2014
    João Pessoa, Brazil

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    WebMedia '14 Paper Acceptance Rate 25 of 86 submissions, 29%;
    Overall Acceptance Rate 270 of 873 submissions, 31%

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    • (2016)A Solution to Discard Context Information using Metrics, Ontology and Fuzzy LogicProceedings of the 22nd Brazilian Symposium on Multimedia and the Web10.1145/2976796.2976849(31-38)Online publication date: 8-Nov-2016

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