Brittany Burlison, Student, Oklahoma State University
Kailey Wilson, Student, Oklahoma State
Heart disease and strokes are two major diseases that have been around for years without a cure. Heart disease is the leading cause of death in the United States, resulting in one death every 36 seconds. Of these deaths, one in six people die due to a stroke, which is also the leading cause for long-term disabilities.
For our research project, we explore whether these two major diseases have common factors that can predict each other. First, we built a logistic regression model for each disease. Next, we made a new variable, which returns 1 if the person has both diseases and 0 if not. Finally, we did a final analysis to see which variables in these two models can predict both diseases in one equation. From our research, we identified that the variables general health, diabetes and health coverage are the most useful in determining whether or not a person will suffer from heart disease or a stroke in their lifetime.
