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English Information

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Authors
# Name
1 Mirela Cazzolato(mtcazzolato@gmail.com)
2 Lucas Rodrigues(lucas_rodrigues@usp.br)
3 Marcela Ribeiro(marcelaxr@gmail.com )
4 Marco Gutierrez(marco.gutierrez@incor.usp.br)
5 Caetano Traina Jr.(caetano@icmc.usp.br)
6 Agma Traina(agma@icmc.usp.br)

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Reference
# Reference
1 Cohen, J. P. et al. (2020). Covid-19 image data collection: Prospective predictions are the future. arXiv 2006.11988.
2 Deza, M. M. and Deza, E. (2009). Encyclopedia of distances. InEncyclopedia of distances, pages 1–583. Springer. DOI: 10.1007/978-3-642-00234-2.
3 DSouza, J. and Velan S., S. (2020). Using exploratory data analysis for generating inferences on the correlation of covid-19 cases. In ICCCNT Conference, pages 1–6. IEEE. DOI: 10.1109/ICCCNT49239.2020.9225621.
4 FAPESP(2020).FAPESPCOVID-9 DataSharing/BR. https://repositoriodatasharingfapesp.uspdigital.usp.br.
5 Farias, J. d., Barioni, M. C., and Rezende, H. (2019). Explorando o uso de árvores b+ na indexação de dados por similaridade. In SBBD Conference, pages 163–168, Porto Alegre, RS, Brasil. SBC. DOI: 10.5753/sbbd.2019.8817.
6 Gansel, X., Mary, M., and van Belkum, A. (2019). Semantic data interoperability, digital medicine, and e-health in infectious disease management: a review. EJCMID Journal,38(6):1023–1034. DOI:10.1007/s10096-019-03501-6.
7 Han, J., Kamber, M., and Pei, J. (2011) .Data Mining: Concepts and Techniques, 3rd edition. Morgan Kaufmann.
8 Hoshen, Y. and Wolf, L. (2018). Unsupervised correlation analysis. InCVPR Conference, pages 3319–3328. DOI: 10.1109/CVPR.2018.00350.
9 Huang, H., Zhang, R., and Lu, X. (2019). A recommendation model for medical data visualization based on information entropy and decision tree optimized by two correlation coefficients. In ACM ICICM Conference, page 52–56.DOI: 10.1145/3357419.3357436.
10 Jensen, P. B., Jensen, L. J., and Brunak, S. (2012). Mining electronic health records: towards better research applications and clinical care. Nature Reviews Genetics,13(6):395–405. DOI: 10.1038/nrg3208.
11 Kaieski, N., de Oliveira, L. P. L., and Villamil, M. B. (2016). Vis-health: Exploratory analysis and visualization of dengue cases in Brazil. In HICSS Conference, pages3063–3072. IEEE. DOI: 10.1109/HICSS.2016.385.
12 Samet, H. (2006). Foundations of multidimensional and metric data structures. M. K. series in data management systems. Academic Press.
13 Xiao, C. et al. (2016). Using spearman’s correlation coefficients for exploratory data analysis on big dataset. CCPE Journal, 28(14):3866–3878. DOI: 10.1002/cpe.3745.
14 Yadav, P., Steinbach, M., Kumar, V., and Simon, G. (2018). Mining electronic health records (EHRs): A survey. ACM Computing Surveys, 50(6). DOI: 10.1145/3127881.
15 Yang, F. et al. (2019). Correlation judgment and visualization features: A comparative study. IEEE TVCG Journal, 25(3):1474–1488. DOI:10.1109/TVCG.2018.2810918.
16 Zhang, H., Hou, Y., Qu, D., and Liu, Q. (2016). Correlation visualization of time-varying patterns for multi-variable data. IEEE Access, 4:4669–4677. DOI: 10.1109/AC-CESS.2016.2601339.