A graphical visualization approach to understanding of the relationship between the treatment factors Diabetes Mellitus Type 1

  • João Pedro Mazuco Rodriguez UPF
  • Ana Carolina Bertoletti de Marchi UPF
  • Ericles Andrei Bellei UPF
  • Daiana Biduski UPF
  • Hugo Roberto Kurtz Lisboa IMED

Abstract


Understanding the linkage among insulin time-action profile, glycemia, diet, and physical activity is an essential skill in the treatment of Type 1 Diabetes Mellitus (DM). Hence, our work presents a graphical data visualization tool that aims to facilitate this task.

References


amCharts (2019). The library amCharts 4. https://www.amcharts.com/javascript-charts/, [acessado em 18 de Abril].

Bellei, E. A., Biduski, D., Cechetti, N. P. and De Marchi, A. C. B. (2018). Diabetes Mellitus m-Health Applications: A Systematic Review of Features and Fundamentals. Telemed J E Health, v. 24, n. 11, p. 839-853.

Bellei, E. A., Biduski, D., Lisboa, H. R. K. and De Marchi, A. C. B. (2019). Development and Assessment of a Mobile Health Application for Monitoring the Linkage Among Treatment Factors of Type 1 Diabetes Mellitus. Telemed J E Health, p. tmj.2018.0329.

Bellei, E. A. (2019). Exploring mobile health applications for self-management of Diabetes Mellitus. Master’s Thesis. University of Passo Fundo.

Biduski, D. (2019). Avaliando a Experiência do Usuário de Longo Prazo em Aplicações m-Health. Dissertação. Universidade de Passo Fundo.

Brewer, N. T., Gilkey, M. B., Lillie, S. E., Hesse, B. W. and Sheridan, S. L. (2012). Tables or Bar Graphs? Presenting Test Results in Electronic Medical Records. Med Decis Making, v. 32, n. 4, p. 545–553.

Bui, A. A. T., Aberle, D. R. and Kangarloo, H. (2007). TimeLine: Visualizing Integrated Patient Records. IEEE Trans Inf Tech Biomed, v. 11, n. 4, p. 462–473.

Chomutare, T., Fernandez-Luque, L., Årsand, E. and Hartvigsen, G. (2011). Features of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines. J Med Internet Res, v. 13, n. 3, p. e65.

Cui, M., Wu, X., Mao, J., Wang, X. and Nie, M. (2016). T2DM Self-Management via Smartphone Applications: A Systematic Review and Meta-Analysis. PLoS ONE, v. 11, n. 11, p. e0166718.

Feller, D. J., Burgermaster, M., Levine, M. E., et al. (1 oct 2018). A visual analytics approach for pattern-recognition in patient-generated data. J Am Med Inform Assoc, v. 25, n. 10, p. 1366–1374.

Fiordelli, M., Diviani, N. and Schulz, P. J. (2013). Mapping mHealth Research: A Decade of Evolution. J Med Internet Res, v. 15, n. 5, p. e95.

Google Developers (2017). Firebase Products. https://firebase.google.com/products, [acessado em 18 de Abril].

Gordon, W. J. and Bhan, I. (2017). Graphical timeline software for inpatient medication review. Health Informatics J, p. 1–9.

Hartz, J., Yingling, L. and Powell-Wiley, T. M. (2016). Use of Mobile Health Technology in the Prevention and Management of Diabetes Mellitus. Curr Cardiol Rep, v. 18, n. 12, p. 130.

Heise, T. and Meneghini, L. (2014). Insulin Stacking Versus Therapeutic Accumulation: Understanding the Differences. Endocr Pract, v. 20, n. 1, p. 75–83.

Hirsch, I. B. (2005). Insulin Analogues. N Engl J Med, v. 352, n. 2, p. 174–183.

Kim, M. I. (aug 2006). An Integrated Graphic Scheme for the Display of Insulin Prescription and Blood Glucose Information. Diabetes Technol Ther, v. 8, n. 4, p. 505.

Sociedade Brasileira de Diabetes (2018). Diretrizes da Sociedade Brasileira de Diabetes 2017-2018. São Paulo: Editora Clannad.

Tao, D., Yuan, J. and Qu, X. (1 aug 2018). Presenting self-monitoring test results for consumers: the effects of graphical formats and age. J Am Med Inform Assoc, v. 25, n. 8, p. 1036–1046.

Wong, J. C., et al. (2017). Pilot Study of a Novel Application for Data Visualization in Type 1 Diabetes. J Diabetes Sci Technol, v. 11, n. 4, p. 800–807.

Zhang, Y., Chanana, K. and Dunne, C. (2018). IDMVis: Temporal Event Sequence Visualization for Type 1 Diabetes Treatment Decision Support. IEEE Trans Vis Comput Graph.

Published
2019-06-11
RODRIGUEZ, João Pedro Mazuco; DE MARCHI, Ana Carolina Bertoletti; BELLEI, Ericles Andrei; BIDUSKI, Daiana; LISBOA, Hugo Roberto Kurtz. A graphical visualization approach to understanding of the relationship between the treatment factors Diabetes Mellitus Type 1. In: UNDERGRADUATE RESEARCH WORKS CONTEST - BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTHCARE (SBCAS), 19. , 2019, Niterói. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 . p. 127-132. ISSN 2763-8987. DOI: https://doi.org/10.5753/sbcas.2019.6296.