Improving Healthcare via the Prediction of Post-Operative Complications in Cardiac Surgery

Assessing the potential benefits or detriments associated with cardiac surgery will help in analyzing the physiological, psychological, and monetary cost. This requires knowing the likeliness that certain complications will arise after surgery. To assist in this effort, data mining techniques were used to predict seven post-operative complications. These included re-operation due to bleeding, death, renal failure, sternal wound, stroke, severe pulmonary disorder, and myocardial infarction. The data for this study comprises approximately 4.5 years of cardiac surgery outcomes contributed by 27 hospitals over the last 5 years. Different combinations of classifiers were used to build predictive models.

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