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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 1, 2023.
Abstract: In today's environment, Business Intelligence (BI) is transforming the world at a rapid pace across domains. Business intelligence has been around for a long time, but when combined with technology, the results are astounding. BI is also playing an important role in the healthcare domain. Centers for Disease Control and Prevention (CDC) is the largest science-based, data-driven service provider in the country for public health protection. For over 70 years, has been using science to fight disease and keep families, businesses, and communities healthy. However, research indicates that the prevalence of diabetes in the US is rising alarmingly. As a result, if diabetes is not treated, it can lead to life-threatening complications such as heart disease, loss of feeling, blindness, kidney failure, and amputations. As a result, this study was conducted to analyze people's health conditions and daily lifestyles in order to predict which type of diabetes they would most likely diagnose with the implementation of business intelligence using Tableau dashboard. Furthermore, background research is conducted on CDC to understand their work, challenges, and opportunities. By the end of the project, the information obtained and visualized should be able to enhance business choices and make better decisions on controlling diabetes in the future.
Samantha Siow Jia Qi and Sarasvathi Nagalingham, “Business Intelligence Data Visualization for Diabetes Health Prediction” International Journal of Advanced Computer Science and Applications(IJACSA), 14(1), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140190
@article{Qi2023,
title = {Business Intelligence Data Visualization for Diabetes Health Prediction},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140190},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140190},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {1},
author = {Samantha Siow Jia Qi and Sarasvathi Nagalingham}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.