Modelos de linguagem e deep learning para desenvolvimento de um chatbot para pé diabético

• José William Araújo do Nascimento UFPE
• Lucas Müller Corrêa Unicap
• Geicianfran da Silva Lima Roque UFPE
• Rafael Roque de Souza Unicap
• Sérgio Ricardo de Melo Queiroz UFPE

DOI: https://doi.org/10.5753/sbcas.2023.229705

Abstract

This article presents the development of a chatbot application for disseminating information about diabetic foot to users, using the Rasa framework, language models, and deep learning algorithms. The purpose is to facilitate access to information on prevention and treatment of diabetic foot, a severe complication of Diabetes Mellitus. The chatbot responds to general inquiries and provides guidance based on scientific evidence, contributing to the spread of accurate information, prevention, and early detection of diabetic foot, allowing for proper treatment by specialized healthcare professionals.

References

Ayanouz, S., Abdelhakim, B.A., Benhmed, M. (2020) A smart chatbot architecture based NLP and machine learning for health care assistance. In Proceedings of the 3rd International Conference on Networking, Information Systems & Security, pages 1–6.

Carvalho Chaves, A.S., Oliveira, G.M., Souza de Jesus, L.M., Martins, J.L., Silva, V.C. (2018) Use of applications for mobile devices in the health education process: reflections of contemporaneity. Humanidades & Inovacão 5(6):34–42.

Freitas Correia, E., Santos, W.C.F., Cunha, B.P.V., Silva Souza, S.L., Costa Raposo, B.R., Queiroz, L.K.L., et al. (2022) Principais fatores de risco para amputação de membros inferiores em pacientes com pé diabético: uma revisão sistemática. Research, Society and Development, 11(8): e59511831599–e59511831599.

International diabetes federation (IDF) (2017) IDF diabetes atlas 8th edition. International diabetes federation, pages 905–911.

Golbert, A., Vasques, A.C.J., Faria, A., Lottenberg, A.M.P., Joaquim, A.G., Vianna, A.G.D., et al. (2019) Diretrizes da sociedade brasileira de diabetes 2019-2020. São Paulo: Clannad, pages 1–491.

Monteiro-Soares, M., Russell, D., Boyko, E. J., Jeffcoate, W., Mills, J. L., Morbach, S., (2020) Guidelines on the classification of diabetic foot ulcers (IWGDF 2019). Diabetes/metabolism research and reviews, 36:e3273.

Riddle, M.C. (2020) Diabetes care in 2020: Following and leading the stories of diabetes.

Su, D., Michaud, T.L., Estabrooks, P., Schwab, R.J., Eiland, L.A., Hansen, G., et al. (2019) Diabetes management through remote patient monitoring: the importance of patient activation and engagement with the technology. Telemedicine and e-Health, 25(10):952–959.