Using Machine Learning to Improve Surgical Outcomes

Predicting the severity of patient's condition helps providing accurate clinical care. Mortality prediction is one of the challenges due to distinct characteristics of the patient's data. It is a challenging problem to evaluate the patient's data which is highly sparse, highly biased and imbalanced, and highly mixed. In this paper, we are focusing on processing large volumes of data using neural networks which can be further used for analysis to obtain useful insights, such as identifying the major features contributing to certain outcomes of events or classifying different objects based on the presences of certain attributes and their measurements.