{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T15:46:57Z","timestamp":1761580017641,"version":"build-2065373602"},"reference-count":13,"publisher":"Sociedade Brasileira de Computa\u00e7\u00e3o","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>Extra\u00e7\u00e3o de Eventos (EE) \u00e9 a tarefa de identificar e extrair informa\u00e7\u00f5es de eventos em um texto livre. Devido \u00e0 grande quantidade de fontes de texto n\u00e3o estruturado, a \u00e1rea da sa\u00fade pode se beneficiar da EE para facilitar a interpreta\u00e7\u00e3o de registros cl\u00ednicos e mitigar erros m\u00e9dicos. Neste trabalho apresentamos o EEVIN (Extrator de EVentos cl\u00cdNicos), um algoritmo para a extra\u00e7\u00e3o de eventos ordenados cronologicamente a partir de textos cl\u00ednicos escritos em portugu\u00eas brasileiro. A solu\u00e7\u00e3o foi comparada com Large Language Models (LLMs) do estado da arte e obteve resultados significativos com custo computacional mais baixo.<\/jats:p>","DOI":"10.5753\/stil.2025.37871","type":"proceedings-article","created":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T15:42:06Z","timestamp":1761579726000},"page":"682-687","source":"Crossref","is-referenced-by-count":0,"title":["Extra\u00e7\u00e3o de Eventos em Notas Cl\u00ednicas"],"prefix":"10.5753","author":[{"given":"Jo\u00e3o Augusto F.","family":"Balducci","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saullo H. G. de","family":"Oliveira","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"3742","published-online":{"date-parts":[[2025,9,29]]},"reference":[{"key":"1","unstructured":"Ben\u00edcio, D. H. P. (2020). Aplica\u00e7\u00e3o de minera\u00e7\u00e3o de texto e processamento de linguagem natural em prontu\u00e1rios eletr\u00f4nicos de pacientes para extra\u00e7\u00e3o e transforma\u00e7\u00e3o de texto em dado estruturado. Master\u2019s thesis, Universidade Federal do Rio Grande do Norte."},{"key":"2","doi-asserted-by":"crossref","unstructured":"Chen, Y., Xu, L., Liu, K., Zeng, D., and Zhao, J. (2015). Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks. In Zong, C. and Strube, M., editors, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 167\u2013176. Association for Computational Linguistics.","DOI":"10.3115\/v1\/P15-1017"},{"key":"3","unstructured":"DeepSeek-AI, Guo, D., Yang, D., Zhang, H., Song, J., Zhang, R., Xu, R., Zhu, Q., Ma, S., Wang, P., Bi, X., Zhang, X., Yu, X., Wu, Y., Wu, Z. F., Gou, Z., Shao, Z., et al. (2025). Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning."},{"key":"4","unstructured":"Grattafiori, A., Dubey, A., Jauhri, A., Pandey, A., Kadian, A., Al-Dahle, A., Letman, A., Mathur, A., Schelten, A., Vaughan, A., Yang, A., Fan, A., Goyal, A., Hartshorn, A., et al. (2024). The llama 3 herd of models."},{"key":"5","doi-asserted-by":"crossref","unstructured":"Johnson, A. E., Pollard, T. J., Shen, L., Lehman, L.-w. H., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Anthony Celi, L., and Mark, R. G. (2016). MIMIC-III, a freely accessible critical care database. Scientific Data, 3(1):160035.","DOI":"10.1038\/sdata.2016.35"},{"key":"6","doi-asserted-by":"crossref","unstructured":"Juhn, Y. and Liu, H. (2020). Artificial intelligence approaches using natural language processing to advance ehr-based clinical research. Journal of Allergy and Clinical Immunology, 145(2):463\u2013469.","DOI":"10.1016\/j.jaci.2019.12.897"},{"key":"7","doi-asserted-by":"crossref","unstructured":"Li, Q., Li, J., Sheng, J., Cui, S., Wu, J., Hei, Y., Peng, H., Guo, S., Wang, L., Beheshti, A., and Yu, P. S. (2024). A survey on deep learning event extraction: Approaches and applications. IEEE Transactions on Neural Networks and Learning Systems, 35(5):6301\u20136321.","DOI":"10.1109\/TNNLS.2022.3213168"},{"key":"8","doi-asserted-by":"crossref","unstructured":"Liu, J., Chen, Y., Liu, K., Bi, W., and Liu, X. (2020). Event Extraction as Machine Reading Comprehension. In Webber, B., Cohn, T., He, Y., and Liu, Y., editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1641\u20131651. Association for Computational Linguistics.","DOI":"10.18653\/v1\/2020.emnlp-main.128"},{"key":"9","doi-asserted-by":"crossref","unstructured":"Oliveira, L. E. S. E., Peters, A. C., da Silva, A. M. P., Gebeluca, C. P., Gumiel, Y. B., Cintho, L. M. M., Carvalho, D. R., Al Hasan, S., and Moro, C. M. C. (2022). SemClinBr a multi-institutional and multi-specialty semantically annotated corpus for Portuguese clinical NLP tasks. Journal of Biomedical Semantics, 13(1):13.","DOI":"10.1186\/s13326-022-00269-1"},{"key":"10","doi-asserted-by":"crossref","unstructured":"Perera, S., Sheth, A., Thirunarayan, K., Nair, S., and Shah, N. (2013). Challenges in understanding clinical notes: Why NLP engines fall short and where background knowledge can help. In Proceedings of the 2013 International Workshop on Data Management & Analytics for Healthcare DARE \u201913, pages 21\u201326. ACM Press.","DOI":"10.1145\/2512410.2512427"},{"key":"11","doi-asserted-by":"crossref","unstructured":"Schneider, E. T. R., de Souza, J. V. A., Knafou, J., Oliveira, L. E. S. e., Copara, J., Gumiel, Y. B., Oliveira, L. F. A. d., Paraiso, E. C., Teodoro, D., and Barra, C. M. C. M. (2020). BioBERTpt a Portuguese neural language model for clinical named entity recognition. In Rumshisky, A., Roberts, K., Bethard, S., and Naumann, T., editors, Proceedings of the 3rd Clinical Natural Language Processing Workshop, pages 65\u201372, Online. Association for Computational Linguistics.","DOI":"10.18653\/v1\/2020.clinicalnlp-1.7"},{"key":"12","unstructured":"Walker, Christopher, Strassel, Stephanie, Medero, Julie, and Maeda, Kazuaki (2006). ACE 2005 Multilingual Training Corpus."},{"key":"13","unstructured":"Yang, A., Yang, B., Hui, B., Zheng, B., Yu, B., Zhou, C., Li, C., Li, C., Liu, D., Huang, F., Dong, G., Wei, H., Lin, H., Tang, J., Wang, J., Yang, J., Tu, J., et al. (2024). Qwen2 technical report."}],"event":{"name":"Simp\u00f3sio Brasileiro de Tecnologia da Informa\u00e7\u00e3o e da Linguagem Humana","location":"Brasil","acronym":"STIL 2025","number":"16"},"container-title":["Anais do XVI Simp\u00f3sio Brasileiro de Tecnologia da Informa\u00e7\u00e3o e da Linguagem Humana (STIL 2025)"],"original-title":[],"link":[{"URL":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/sol.sbc.org.br\/index.php\/stil\/article\/download\/37871\/37649","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/sol.sbc.org.br\/index.php\/stil\/article\/download\/37871\/37649","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T15:42:33Z","timestamp":1761579753000},"score":1,"resource":{"primary":{"URL":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/sol.sbc.org.br\/index.php\/stil\/article\/view\/37871"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,29]]},"references-count":13,"URL":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/doi.org\/10.5753\/stil.2025.37871","relation":{},"subject":[],"published":{"date-parts":[[2025,9,29]]}}}