Veri madenciliği tekniklerini kullanarak ilaç etkileşiminin düzenlenmesi ve sınıflandırılması

Nowadays, there are thousands of approved drugs that can be used for treating people who have medical problems. Therefore, drug Warnings and Precautions section is intended to identify and describe a discrete set of adverse reactions and other potential safety hazards that are serious or are otherwise clinically significant because they have implications for prescribing decisions or for patient management. In this thesis, proposed tool takes the patient personal information, such as gender, age, pregnancy, the current diseases that the patient suffers from, the current drugs, and the newly diagnosed disease as input and returns the suggested drugs that suit the current patient state. The proposed tool consists of two main phases: data acquisition and data processing. In data acquisition phase, drug information has been collected from different sources including DINTO, DrugBank, RxNorm, and FDA. Moreover, a number of test cases have been designed for evaluating the performance of the proposed tool in different scenarios. The test cases have shown the efficiency with accuracy 96% and effectiveness of the proposed tool