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 Acute Inflammations. The results show that Bagging, logitBoost and Multiclassclassifier for this case study generates highest accuracy of 48.75%.