Modelagem Conceitual e Protótipo de Sistema de Suporte a Decisão para Prevenção de Interações Medicamentosas
Resumo
Este artigo apresenta os resultados de um projeto de iniciação científica voltado para o desenvolvimento de um protótipo para auxiliar pacientes e cuidadores na tomada de decisões informadas sobre a administração de medicamentos prescritos ou de venda livre, sem promover a automedicação. O projeto envolve a adaptação de uma solução existente de verificação de interações entre recomendações clínicas, originalmente desenvolvida para profissionais de saúde. Modelos conceituais na linguagem OntoUML são propostos para descrever e esclarecer conceitos-chave em medicina e farmácia que precisam ser representados. Além disso, uma implementação em Prolog foi desenvolvida utilizando Dados Ligados Abertos (Linked Open Data).Referências
Almeida, J. P. A., Carvalho, V. A., Brasileiro, F., Fonseca, C. M., and Guizzardi, G. (2018). Multi-level conceptual modeling: Theory and applications. Proc. XI Seminar on Ontology Research in Brazil, São Paulo, Brazil, Oct. 1st-3rd, 2018., 2228:26–41.
Almeida, J. P. A., Falbo, R. A., and Guizzardi, G. (2019). Events as entities in ontology-driven conceptual modeling. In 38th International Conference on Conceptual Modeling (ER 2019), volume 11788 of LNCS, pages 1–16. Springer.
Baratella, R., Fumagalli, M., Ítalo Oliveira, and Guizzardi, G. (2022). Understanding and modeling prevention. In Research Challenges in Information Science, volume 446 of LNBIP, pages 389–405. Springer.
Barcelos, P. P. F., Sales, T. P., Fumagalli, M., Fonseca, C. M., Sousa, I. V., Romanenko, E., Kritz, J., and Guizzardi, G. (2022). A FAIR model catalog for ontology-driven conceptual modeling research. In Conceptual Modeling, pages 3–17. Springer.
Benevides, A. B., Bourguet, J. R., Guizzardi, G., Peñaloza, R., and Almeida, J. P. A. (2019). Representing a reference foundational ontology of events in SROIQ. Applied Ontology, 14:293–334.
Fonseca, C. M., Guizzardi, G., Almeida, J. P. A., Sales, T. P., and Porello, D. (2022). Incorporating Types of Types in Ontology-Driven Conceptual Modeling, volume 13607 LNCS, pages 18–34. Springer.
Guizzardi, G. (2005). Ontological foundations for structural conceptual models. PhD thesis, University of Twente.
Guizzardi, G., Almeida, J. P. A., and Guarino, N. (2016). Ontological Considerations About the Representation of Events and Endurants in Business Models. In Proc. 14th International Conference, BPM 2016, volume 9850 of LNCS, pages 20–36. Springer.
Guizzardi, G., Benevides, A. B., Fonseca, C. M., Porello, D., Almeida, J. P. A., and Sales, T. P. (2021a). Ufo: Unified foundational ontology. Applied Ontology, 1:1–3.
Guizzardi, G., Fonseca, C. M., Almeida, J. P. A., Sales, T. P., Benevides, A. B., and Porello, D. (2021b). Types and taxonomic structures in conceptual modeling: A novel ontological theory and engineering support. Data & Knowledge Engineering, 134:101891.
Knox, C. and et al. (2023). DrugBank 6.0: the DrugBank Knowledgebase for 2024. Nucleic Acids Research, 52(D1):D1265–D1275.
Sales, T. P. and Guizzardi, G. (2017). Is it a fleet or a collection of ships?: Ontological anti-patterns in the modeling of part-whole relations. volume 10509 of LNCS, pages 28–41. Springer.
Verdonck, M., Gailly, F., Cesare, S. D., and Poels, G. (2015). Ontology-driven conceptual modeling: A systematic literature mapping and review. Applied Ontology, 10:197–227.
Wielemaker, J., Schrijvers, T., Triska, M., and Lager, T. (2012). SWI-Prolog. Theory and Practice of Logic Programming, 12(1-2):67–96.
Zamborlini, V. (2017). Knowledge Representation for Clinical Guidelines - with applications to Multimorbidity Analysis and Literature Search. PhD thesis, University of Amsterdam.
Zamborlini, V., Hoekstra, R., da Silveira, M., Pruski, C., ten Teije, A., and van Harmelen, F. (2017). Generalizing the Detection of Clinical Guideline Interactions Enhanced with LOD, pages 360–386. Springer.
Zamborlini, V., Wielemaker, J., da Silveira, M., Pruski, C., ten Teije, A., and van Harmelen, F. (2016). SWISH for prototyping Clinical Guideline Interactions Theory. In Proceedings of the Workshop on Semantic Web Applications and Tools for Life Sciences, Amsterdam, NL, volume 1795 of CEUR.
Almeida, J. P. A., Falbo, R. A., and Guizzardi, G. (2019). Events as entities in ontology-driven conceptual modeling. In 38th International Conference on Conceptual Modeling (ER 2019), volume 11788 of LNCS, pages 1–16. Springer.
Baratella, R., Fumagalli, M., Ítalo Oliveira, and Guizzardi, G. (2022). Understanding and modeling prevention. In Research Challenges in Information Science, volume 446 of LNBIP, pages 389–405. Springer.
Barcelos, P. P. F., Sales, T. P., Fumagalli, M., Fonseca, C. M., Sousa, I. V., Romanenko, E., Kritz, J., and Guizzardi, G. (2022). A FAIR model catalog for ontology-driven conceptual modeling research. In Conceptual Modeling, pages 3–17. Springer.
Benevides, A. B., Bourguet, J. R., Guizzardi, G., Peñaloza, R., and Almeida, J. P. A. (2019). Representing a reference foundational ontology of events in SROIQ. Applied Ontology, 14:293–334.
Fonseca, C. M., Guizzardi, G., Almeida, J. P. A., Sales, T. P., and Porello, D. (2022). Incorporating Types of Types in Ontology-Driven Conceptual Modeling, volume 13607 LNCS, pages 18–34. Springer.
Guizzardi, G. (2005). Ontological foundations for structural conceptual models. PhD thesis, University of Twente.
Guizzardi, G., Almeida, J. P. A., and Guarino, N. (2016). Ontological Considerations About the Representation of Events and Endurants in Business Models. In Proc. 14th International Conference, BPM 2016, volume 9850 of LNCS, pages 20–36. Springer.
Guizzardi, G., Benevides, A. B., Fonseca, C. M., Porello, D., Almeida, J. P. A., and Sales, T. P. (2021a). Ufo: Unified foundational ontology. Applied Ontology, 1:1–3.
Guizzardi, G., Fonseca, C. M., Almeida, J. P. A., Sales, T. P., Benevides, A. B., and Porello, D. (2021b). Types and taxonomic structures in conceptual modeling: A novel ontological theory and engineering support. Data & Knowledge Engineering, 134:101891.
Knox, C. and et al. (2023). DrugBank 6.0: the DrugBank Knowledgebase for 2024. Nucleic Acids Research, 52(D1):D1265–D1275.
Sales, T. P. and Guizzardi, G. (2017). Is it a fleet or a collection of ships?: Ontological anti-patterns in the modeling of part-whole relations. volume 10509 of LNCS, pages 28–41. Springer.
Verdonck, M., Gailly, F., Cesare, S. D., and Poels, G. (2015). Ontology-driven conceptual modeling: A systematic literature mapping and review. Applied Ontology, 10:197–227.
Wielemaker, J., Schrijvers, T., Triska, M., and Lager, T. (2012). SWI-Prolog. Theory and Practice of Logic Programming, 12(1-2):67–96.
Zamborlini, V. (2017). Knowledge Representation for Clinical Guidelines - with applications to Multimorbidity Analysis and Literature Search. PhD thesis, University of Amsterdam.
Zamborlini, V., Hoekstra, R., da Silveira, M., Pruski, C., ten Teije, A., and van Harmelen, F. (2017). Generalizing the Detection of Clinical Guideline Interactions Enhanced with LOD, pages 360–386. Springer.
Zamborlini, V., Wielemaker, J., da Silveira, M., Pruski, C., ten Teije, A., and van Harmelen, F. (2016). SWISH for prototyping Clinical Guideline Interactions Theory. In Proceedings of the Workshop on Semantic Web Applications and Tools for Life Sciences, Amsterdam, NL, volume 1795 of CEUR.
Publicado
17/10/2024
Como Citar
LEÃO, Renzo Henrique Guzzo; ZAMBORLINI, Veruska Carretta; ALMEIDA, João Paulo A..
Modelagem Conceitual e Protótipo de Sistema de Suporte a Decisão para Prevenção de Interações Medicamentosas. In: ESCOLA REGIONAL DE INFORMÁTICA DO ESPÍRITO SANTO, 9. , 2024, Vitória/ES.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 157-166.
DOI: https://doi.org/10.5753/eries.2024.244714.
