Analysis on Diabetic Patients’ Hospital Admission & Classification of Readmission

• A Data Mining class project using logistic regression, random forest, and neural networks for classifying hospital readmission
• Collaborators: Alec Aquino, Anne Arrobio
• Dataset & preprocessing steps from: Beata Strack, Jonathan P. DeShazo, Chris Gennings, Juan L. Olmo, Sebastian Ventura, Krzysztof J. Cios, and John N. Clore, “Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records,” BioMed Research International, vol. 2014, Article ID 781670, 11 pages, 2014.
• Dataset available in the UCI ML repo: https://archive.ics.uci.edu/ml/datasets/Diabetes+130-US+hospitals+for+years+1999-2008#