This research work presents a decision making of healthcare operational system by using machine learning classifiers algorithm to predict the decision making in comparison to the actual decision making. This model may help to doctor for making the best decisions. This model helps us to predict surgery. This study explains utilization of machine learning algorithms in determination of medical operation methods. The results show that SMO in Puk Kernel parameter for this case study generates highest accuracy level of 62.50%.