A research of applying association rules and decision tree to endometriosis

Abstract

With the medical technology getting developed day by day, medical quality has been playing a significant role in treatment achievement evaluation, recurrence evaluation and complication disease differentiation. However, the variety and complexity of medical data type makes it possible to cause some deviations of results by subjective judgments and affect the medical decision. So, it is necessary to choose the appropriate data analyzing methods. When it comes to strategy selection, we can find that categorized data type is superior to helping to make a decision. Through medical records, taking the method of data mining to analyze the association relations among certain diseases and then we can generalize the characteristics and dig out the hidden information. This research is to take use of association rules and decision tree to analyze the association relationship among endometriosis, barrenness and alcohol treatment. By analyzing the recorded medical associated data, we will find out the potential information as well as useful knowledge. That can provide references for physician when carry out the medical treatment.