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English Information

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Authors
# Name
1 Lucas Barros(lucas2014.barros@gmail.com)
2 Laissa Silva(jlaestudos@gmail.com)
3 Gabriel Aquino(gabriel.silvaa@ufape.edu.br)
4 Caio Rocha(caio.guilherme@ufape.edu.br)
5 Fabio Medeiros(fabio.guerramedeiros@gmail.com)
6 Veruska Santos(veruska@copin.ufcg.edu.br)
7 Tiago Brasileiro Araújo(tiago.brasileiro@ifpb.edu.br)
8 Dimas Cassimiro Nascimento Filho(dimascnf@uag.ufrpe.br)

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Reference
# Reference
1 Alnowaiser, K. (2024). Improving healthcare prediction of diabetic patients using knn imputed features and tri-ensemble model. IEEE Access, 12:16783–16793.
2 de Almeida, P. F., Giovanella, L., Schenkman, S., Franco, C. M., Duarte, P. O., Houghton, N., Bascolo, E., and Bousquat, A. (2025). Health surveillance as a strategic pillar of a comprehensive primary health care. Ciencia & saude coletiva, 30(5):e04572025.
3 Ganem, I. M., Bianco, G. D., Serufo Filho, J. C., Lima, L., Rocha, L., and Goncalves, M. A. (2025). Avaliando as limitacoes e potenciais do algoritmo k-vizinhos mais proximos (knn) na imputacao de dados clinicos. In Simposio Brasileiro de Banco de Dados (SBBD), pages 809–815. SBC.
4 Hegde, H., Shimpi, N., Panny, A., Glurich, I., Christie, P., and Acharya, A. (2019). Mice vs ppca: Missing data imputation in healthcare. Informatics in medicine unlocked, 17:100275.
5 Hu, Y.-H., Wu, R.-Y., Lin, Y.-C., and Lin, T.-Y. (2024). A novel missforest-based missing values imputation approach with recursive feature elimination in medical applications. BMC Medical Research Methodology, 24(1):269.
6 Joel, L. O., Doorsamy, W., and Paul, B. S. (2025). A comparative study of imputation techniques for missing values in healthcare diagnostic datasets. International Journal of Data Science and Analytics, 20(7):6357–6373.
7 Lima, A. M. (2025). Assessing the impact of missing value mechanisms on anomaly detection in healthcare wearable data. In Simposio Brasileiro de Banco de Dados (SBBD), pages 781–787. SBC.
8 Massuda, A., Malik, A., Lotta, G., Siqueira, M., Tasca, R., and Rocha, R. (2022). Brazil’s primary health care financing: case study. Lancet Global Health Commission on Financing Primary Health Care.
9 Nascimento, I. Y. N., Santos, V. B., Pereira, L. F. A., Araujo, T. B., da Rocha, C. G. M., Medeiros Filho, F. G., de Andrade, R. C. A., Vanderlei, I. M., and Nascimento Filho, D. C. (2026). Primary healthcare efficiency indicators for analysis and decision-making support for managers. In Simposio Brasileiro de Sistemas de Informacao (SBSI), pages 556–575. SBC.
10 Pereira, L. F. A., Ferreira, L. B., Nascimento, D. C., Vanderlei, I. M., Silva, D., Santos, V. B., Gomes, M. S., and Melo, I. A. (2025). Design, integration, and evaluation of a demand forecasting service in the context of primary healthcare. In Simposio Brasileiro de Sistemas de Informacao (SBSI), pages 506–514. SBC.
11 Santos, A. M. d., Giovanella, L., Fausto, M. C. R., Cabral, L. M. d. S., and Almeida, P. F. d. (2024). Dynamics of regionalization and repercussions of gaps in care on health marketing in remote rural municipalities. Cadernos de Saude Publica, 40:e00194523.
12 Taylor, S. J. and Letham, B. (2018). Forecasting at scale. The American Statistician, 72(1):37–45.