This repository contains a reanalysis of the impact of HbA1c measurement on hospital readmission rates using a wide variety of classical machine learning algorithms. This project is built on a subset of the original dataset studied in B. Strack, J. P. DeShazo, C. Gennings, J. L. Olmo, S. Ven- tura, K. J. Cios, and J. N. Clore, Impact of HbA1c measurement on hospital readmission rates: Analysis of 70,000 clinical database patient records, BioMed Research International 2014, 781670 (2014). The analysis involves data preparation, feature selection, and model training and evaluation.
src/: containsdata_factory.ipynb&analysis.ipynbwhich are the main notebooks for data preparation and analysis, respectively.Report.pdf: contains the final report of the analysis.requirements.txt: contains the required packages to run the notebooks.