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Diabetes Data Analytics Project

This project aims to uncover the underlying patterns and trends that link demographic and nutrition factors to diabetes, and in turn identify key risk factors associated with diabetes using sophisticated statistical techniques and data visualization tools. With the rising prevalence of diabetes in the US, understanding these relationships can help healthcare providers develop more effective prevention and treatment strategies, ultimately improving the lives of millions of individuals affected by this disease. This project applies data analytics techniques to a complex public health problem and and hopes to contribute to our understanding of the factors that influence diabetes risk.

Dataset Used

For context the National Health and Nutrition Examination Survey (NHANES) is a program aimed at examining the nutritional and health status of adults and children in the United States. It is an exceptional survey that uses both questionnaires and physical examinations. The NHANES is a significant program run by the National Center for Health Statistics (NCHS), which is responsible for generating essential health and vital statistics for the country. During the survey, individuals are interviewed about their socioeconomic status, dietary habits, and health-related concerns. Additionally, the examination phase includes medical, dental, and physiological evaluations, as well as laboratory tests performed by highly trained medical personnel. For further information and reading follow this link: https://www.cdc.gov/nchs/nhanes/about_nhanes.html

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