An accurate estimate of the duration of an intervention is essential to optimize the utilization of the operating room, it plays a fundamental role in reducing the cost of the operating room (OR). The approaches most used by hospitals are based on historical averages based on a specific surgeon or specific type of procedure obtained from the electronic medical record (EMR) scheduling systems. However, the low predictive accuracy of the EMR leads to negative impacts on patients and hospitals, such as rescheduling of surgeries and cancellations which costs a lot of money. Our aim in this study is to improve the prediction of surgeries duration using advanced machine learning algorithms to find a predictive model.