Author(s)

Cindy Gao, Yanrong Huo, Yingzhe Liu

Corresponding Author

Yingzhe Liu

ABSTRACT

This study is conducting quantitative research exploring if the disease of diabetes will be affected by several factors including age, weight, and BMI. In this study, data transformation by data cleansing, formatting were performed for cleaner results. Multiple logistic regression models were built to find the best one to predict one’s chances of encountering diabetes. To assess these models, evaluations of Akaike information criterion (AIC), Mean Squared Error (MSE), and p-values were used. Diagnostic plots were constructed to further evaluate the models. In the end, it was found that one’s age, gender, race, and BMI level were the best mix of predictors of one’s chances of coming across diabetes. This study’s results are noteworthy as there is an increasing number of people suffering from diabetes. Finding these factors will promote more precaution in each individual, and hopefully reduce the risk of encountering diabetes.

KEYWORDS

Risking, diabetes, mellitus