Decision Tree Classifiers to Determine the Patient’s Post-Operative Recovery Decision

Machine Learning aims to generate classifying expressions simple enough to be approachesavailable for classification. Among which decision tree learning is one of the mostpopular classification algorithms. In this paper we propose a systematic approachbased on decision tree which is used to automatically determine the patient’spost–operative recovery status. Decision Tree structures are constructed, usingdata mining methods and then are used to classify discharge decisions