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English Information

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Authors
# Name
1 Leonardo Cardoso(leo.silva.cardoso@usp.br)
2 Afonso Sousa Lima(afonso.matheus@usp.br)
3 Ulisses Silva(ursilva@usp.br)
4 Agma Traina(agma@icmc.usp.br)
5 Elaine Sousa(parros@icmc.usp.br)

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Reference
# Reference
1 Alavi, A., Bogu, G. K., Wang, M., Rangan, E. S., Brooks, A. W., et al. (2022). Real-time alerting system for covid-19 and other stress events using wearable data. Nature Medicine, 28(1):175-184.
2 Benhamza, K., Benselim, R., Naidja, H., and Seridi, H. (2025). A comprehensive survey of imputation methods in medical missing data analysis. Applied Intelligence, 55(11):778.
3 Canali, S., Schiaffonati, V., and Aliverti, A. (2022). Challenges and recommendations for wearable devices in digital health: Data quality, interoperability, health equity, fairness. PLOS Digital Health, 1(10):e0000104.
4 Emmanuel, T., Maupong, T., Mpoeleng, D., Semong, T., Mphago, B., and Tabona, O. (2021). A survey on missing data in machine learning. Journal of Big data, 8:1-37.
5 Getzen, E., Ungar, L., Mowery, D., Jiang, X., and Long, Q. (2023). Mining for equitable health: Assessing the impact of missing data in electronic health records. Journal of biomedical informatics, 139:104269.
6 Lima, A. M. S. (2025). Assessing the impact of missing value mechanisms on anomaly detection in healthcare wearable data. In Anais do XL Simposio Brasileiro de Bancos de Dados (SBBD), pages 781-787, Fortaleza, CE, Brasil. Sociedade Brasileira de Computacao.
7 Lima, A. M. S. (2026). The impact of missing values on anomaly detection tasks in healthcare wearable data. Journal of Information and Data Management. Accepted for publication; to appear.
8 Lima, A. S. and Sousa, E. (2024). Handling missing values in data streams: An overview. In Anais do XXXIX Simposio Brasileiro de Bancos de Dados, pages 750-756, Florianopolis, SC, Brasil. Sociedade Brasileira de Computacao.
9 Mangussi, A. D., Santos, M. S., Lopes, F. L., Pereira, R. C., Lorena, A. C., and Abreu, P. H. (2025). mdatagen: A python library for the artificial generation of missing data. Neurocomputing, 625:129478.
10 Mishra, T., Wang, M., Metwally, A. A., Bogu, G. K., Brooks, A. W., Bahmani, A., Alavi, A., Celli, A., Higgs, E., Dagan-Rosenfeld, O., et al. (2020). Pre-symptomatic detection of covid-19 from smartwatch data. Nature biomedical engineering, 4(12):1208-1220.
11 Santos, M. S., Pereira, R. C., Costa, A. F., Soares, J. P., Santos, J., and Abreu, P. H. (2019). Generating synthetic missing data: A review by missing mechanism. IEEE Access, 7:11651-11667.