Modelagem Multinível de Conceitos Clínicos para Apoio à Decisão ao Diagnóstico de Demência, Doença de Alzheimer e Transtorno Cognitivo Leve
Resumo
Este artigo tem por objetivo descrever a modelagem dos conceitos clínicos utilizados em um sistema de apoio à decisão ao diagnóstico de Demência, Doença de Alzheimer e Transtorno Cognitivo Leve. O modelo de decisão é baseado em uma rede Bayesiana, onde cada conceito clínico é codificado por um nodo em um diagrama causal. O problema da interoperabilidade semântica foi considerado através de uma abordagem multinível descrita pelo modelo de referência MLHIM (Multilevel Healthcare Information Model). As especificações são discutidas, realçando de que forma os princípios da modelagem multinível podem apoiar a construção do modelo de dados em um sistema de apoio à decisão.
Referências
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Cavalini, L. T. and T. W. Cook (2012). Knowledge engineering of healthcare applications based on minimalist multilevel models. e-Health Networking, Applications and Services (Healthcom), 2012 IEEE 14th International Conference on, IEEE.
Chawla, N. V., K. W. Bowyer, L. O. Hall and W. P. Kegelmeyer (2002). "SMOTE: Synthetic Minority Over-Sampling Technique." Journal of Artificial Intelligence Research 16: 321-357.
Dempster, A. P., N. M. Laird and D. B. Rubin (1977). "Maximum likelihood from incomplete data via the EM algorithm." Journal of the Royal Statistical Society. Series B (Methodological) 39(1): 1-38.
Dias, R. D., T. W. Cook and S. M. Freire (2011). "Modeling healthcare authorization and claim submissions using the openEHR dual-model approach." BMC Medical Informatics & Decision Making 11(60): 60.
Dolin, R. H., L. Alschuler, S. Boyer, C. Beebe, F. M. Behlen, P. V. Biron and A. S. Shvo (2006). "HL7 clinical document architecture, release 2." Journal of the American Medical Informatics Association 13(1): 30-39.
Druzdzel, M. J. (1999). SMILE: Structural Modeling, Inference, and Learning Engine and GeNIe: a development environment for graphical decision-theoretic models, John Wiley & Sons ltd.
Folstein, M. F., S. E. Folstein and P. R. McHugh (1975). "Mini-mental state: A practical method for grading the cognitive state of patients for the clinician." J Psychiatr Res 12(3): 189-198.
Friedman, N., M. Linial, I. Nachman and D. Pe'er (2000). "Using Bayesian Networks to Analyze Expression Data." Journal of Computational Biology 7(3-4): 601-620.
Garde, S., P. Knaup, E. Hovenga and S. Heard (2007). "Towards semantic interoperability for electronic health records." Methods of information in medicine 46(3): 332-343.
Gomes, A. T. A., A. Ziviani, B. S. P. M. Correa, I. M. Teixeira and V. M. Moreira (2012). SPLiCE: a software product line for healthcare. Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium. Miami, Florida, USA, ACM: 721-726.
Haynes, R. B. and N. L. Wilczynski (2010). "Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: methods of a decision-maker-researcher partnership systematic review." Implement Sci 5(12): 12.
Howard, R. A. and J. E. Matheson (2005). "Influence diagrams." Decision Analysis 2(3): 127-143.
Jalbert, J. J., L. A. Daiello and K. L. Lapane (2008). "Dementia of the Alzheimer Type." Epidemiologic Reviews 30(1): 15-34.
Kalra, D., T. Beale and S. Heard (2005). "The OpenEHR Foundation." Studies in Health Technology and Informatics 115: 153-173.
Luzardo, A. R., M. Gorini and A. Silva (2006). "Características de idosos com doença de Alzheimer e seus cuidadores: uma série de casos em um serviço de neurogeriatria." Texto & Contexto Enfermagem 15(4): 587-594.
Miller, R. A. (2009). "Computer-Assisted Diagnostic Decision Support: history, challenges, and possible paths forward." Advances in Health Sciences Education 14: 89106.
Morris, J. C. (1997). "Clinical Dementia Rating: a reliable and valid diagnostic and staging measure for dementia of the Alzheimer type." International Psychogeriatrics 9(S1): 173-176.
Petersen, R. C. (2003). Mild cognitive impairment: aging to Alzheimer's disease, Oxford University Press, USA.
Pradhan, M., G. Provan, B. Middleton and M. Henrion (1994). Knowledge engineering for large belief networks. Uncertainty in Artificial Intelligence, San Francisco, Proceedings of the Seventh Conference.
Ratamero, E. M., T. Cook, L. T. Cavalini and D. b. C. M. Saade (2010). Modeling magnetic resonance clinical reports of the lumbar spine using openEHR archetypes. XII Congresso Brasileiro de Informática em Saúde, Porto de Galinhas.
Santos, M. R., M. P. Bax and D. Kalra (2010). "Building a Logical EHR Architecture based on ISO 13606 Standard and Semantic Web Technologies." Studies in Health Technology and Informatics 160(Pt 1): 161.
Seixas, F. L. (2012). Sistema de Apoio à Decisão aplicado ao Diagnóstico de Demência, Doença de Alzheimer e Transtorno Cognitivo Leve. Ciências de Computação. Niterói, Universidade Federal Fluminense (UFF). Doutorado em Computação: 155.
Shalom, E., Y. Shahar, M. Taieb-Maimon, S. B. Martins, L. T. Vaszar, M. K. Goldstein, L. Gutnik and E. Lunenfeld (2009). "Ability of expert physicians to structure clinical guidelines: reality versus perception." Journal of Evaluation in Clinical Practice 15(6): 1043-1053.
Sokolowski, R. and J. Dudeck (1999). XML and its Impact on Content and Structure in Electronic Health Care Documents. AMIA Annual Symposium, Washington, DC, The United States of America, American Medical Informatics Association.
Sundvall, E. (2013). Scalability and semantic sustainability in electronic health record systems. Department of Biomedical Engineering. Linköping, Linköping University. Doctor: 95.
Witten, I. H., E. Frank and M. A. Hall (2011). Data Mining: Practical machine learning tools and techniques, Morgan Kaufmann.
Zusman, E. E. (2010). "Form facilitates function: innovations in architecture and design drive quality and efficiency in healthcare." Neurosurgery 66(6): N24.
Zywietz, C. (2004). "Communication and interoperability for serial comparison in continuous health care--the new challenges." Studies in Health Technology and Informatics 108: 172-180.
Cavalini, L. T. and T. Cook (2011). "Health Informatics: The Relevance of Open Source and Multilevel Modeling." Open Source Systems: Grounding Research 365: 338-347.
Cavalini, L. T. and T. W. Cook (2012). Knowledge engineering of healthcare applications based on minimalist multilevel models. e-Health Networking, Applications and Services (Healthcom), 2012 IEEE 14th International Conference on, IEEE.
Chawla, N. V., K. W. Bowyer, L. O. Hall and W. P. Kegelmeyer (2002). "SMOTE: Synthetic Minority Over-Sampling Technique." Journal of Artificial Intelligence Research 16: 321-357.
Dempster, A. P., N. M. Laird and D. B. Rubin (1977). "Maximum likelihood from incomplete data via the EM algorithm." Journal of the Royal Statistical Society. Series B (Methodological) 39(1): 1-38.
Dias, R. D., T. W. Cook and S. M. Freire (2011). "Modeling healthcare authorization and claim submissions using the openEHR dual-model approach." BMC Medical Informatics & Decision Making 11(60): 60.
Dolin, R. H., L. Alschuler, S. Boyer, C. Beebe, F. M. Behlen, P. V. Biron and A. S. Shvo (2006). "HL7 clinical document architecture, release 2." Journal of the American Medical Informatics Association 13(1): 30-39.
Druzdzel, M. J. (1999). SMILE: Structural Modeling, Inference, and Learning Engine and GeNIe: a development environment for graphical decision-theoretic models, John Wiley & Sons ltd.
Folstein, M. F., S. E. Folstein and P. R. McHugh (1975). "Mini-mental state: A practical method for grading the cognitive state of patients for the clinician." J Psychiatr Res 12(3): 189-198.
Friedman, N., M. Linial, I. Nachman and D. Pe'er (2000). "Using Bayesian Networks to Analyze Expression Data." Journal of Computational Biology 7(3-4): 601-620.
Garde, S., P. Knaup, E. Hovenga and S. Heard (2007). "Towards semantic interoperability for electronic health records." Methods of information in medicine 46(3): 332-343.
Gomes, A. T. A., A. Ziviani, B. S. P. M. Correa, I. M. Teixeira and V. M. Moreira (2012). SPLiCE: a software product line for healthcare. Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium. Miami, Florida, USA, ACM: 721-726.
Haynes, R. B. and N. L. Wilczynski (2010). "Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: methods of a decision-maker-researcher partnership systematic review." Implement Sci 5(12): 12.
Howard, R. A. and J. E. Matheson (2005). "Influence diagrams." Decision Analysis 2(3): 127-143.
Jalbert, J. J., L. A. Daiello and K. L. Lapane (2008). "Dementia of the Alzheimer Type." Epidemiologic Reviews 30(1): 15-34.
Kalra, D., T. Beale and S. Heard (2005). "The OpenEHR Foundation." Studies in Health Technology and Informatics 115: 153-173.
Luzardo, A. R., M. Gorini and A. Silva (2006). "Características de idosos com doença de Alzheimer e seus cuidadores: uma série de casos em um serviço de neurogeriatria." Texto & Contexto Enfermagem 15(4): 587-594.
Miller, R. A. (2009). "Computer-Assisted Diagnostic Decision Support: history, challenges, and possible paths forward." Advances in Health Sciences Education 14: 89106.
Morris, J. C. (1997). "Clinical Dementia Rating: a reliable and valid diagnostic and staging measure for dementia of the Alzheimer type." International Psychogeriatrics 9(S1): 173-176.
Petersen, R. C. (2003). Mild cognitive impairment: aging to Alzheimer's disease, Oxford University Press, USA.
Pradhan, M., G. Provan, B. Middleton and M. Henrion (1994). Knowledge engineering for large belief networks. Uncertainty in Artificial Intelligence, San Francisco, Proceedings of the Seventh Conference.
Ratamero, E. M., T. Cook, L. T. Cavalini and D. b. C. M. Saade (2010). Modeling magnetic resonance clinical reports of the lumbar spine using openEHR archetypes. XII Congresso Brasileiro de Informática em Saúde, Porto de Galinhas.
Santos, M. R., M. P. Bax and D. Kalra (2010). "Building a Logical EHR Architecture based on ISO 13606 Standard and Semantic Web Technologies." Studies in Health Technology and Informatics 160(Pt 1): 161.
Seixas, F. L. (2012). Sistema de Apoio à Decisão aplicado ao Diagnóstico de Demência, Doença de Alzheimer e Transtorno Cognitivo Leve. Ciências de Computação. Niterói, Universidade Federal Fluminense (UFF). Doutorado em Computação: 155.
Shalom, E., Y. Shahar, M. Taieb-Maimon, S. B. Martins, L. T. Vaszar, M. K. Goldstein, L. Gutnik and E. Lunenfeld (2009). "Ability of expert physicians to structure clinical guidelines: reality versus perception." Journal of Evaluation in Clinical Practice 15(6): 1043-1053.
Sokolowski, R. and J. Dudeck (1999). XML and its Impact on Content and Structure in Electronic Health Care Documents. AMIA Annual Symposium, Washington, DC, The United States of America, American Medical Informatics Association.
Sundvall, E. (2013). Scalability and semantic sustainability in electronic health record systems. Department of Biomedical Engineering. Linköping, Linköping University. Doctor: 95.
Witten, I. H., E. Frank and M. A. Hall (2011). Data Mining: Practical machine learning tools and techniques, Morgan Kaufmann.
Zusman, E. E. (2010). "Form facilitates function: innovations in architecture and design drive quality and efficiency in healthcare." Neurosurgery 66(6): N24.
Zywietz, C. (2004). "Communication and interoperability for serial comparison in continuous health care--the new challenges." Studies in Health Technology and Informatics 108: 172-180.
Publicado
23/07/2013
Como Citar
SEIXAS, Flavio L.; CAVALINI, Luciana T.; COOK, Timothy W.; MUCHALUAT-SAADE, Débora C.; CONCI, Aura.
Modelagem Multinível de Conceitos Clínicos para Apoio à Decisão ao Diagnóstico de Demência, Doença de Alzheimer e Transtorno Cognitivo Leve. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO APLICADA À SAÚDE (SBCAS), 13. , 2013, Maceió/AL.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2013
.
p. 1133-1142.
ISSN 2763-8952.
