Decision trees for predicting brain tumors: A case study in health care

Abstract

With the wide expansion of unstructured health data records, there is a need to organize in an effective manner and easy data access. The top-down approach can automatically assign the unstructured health records into a hierarchy with prior domain knowledge. Decision trees are reliable providing high classification accuracy with a simple representation of collected knowledge and effective decision-making technique that can be used in medical care. Decision trees can handle huge datasets with simple and fast integration. It is easy to predict the classification of unseen records using decision tree.