We wanted to get an understanding of what factors influence the frequency of hospital visits for diabetics. We wanted to know how race, age, gender, as well as medical factors such as insulin dosage and primary diagnosis, would affect readmissions rates. We used open-source data found online from over 100,000 hospital visits, and used machine learning techniques to determine whether somebody is likely to be readmitted soon based on their current status.

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