Abstract
These days, health care systems such as pharmacies and drugstores normally produce high volumes of data. Consequently, utilizing data mining methods in health care systems has become a conventional process. In this research, Apriori algorithm has been applied to perform data mining using the data obtained from the prescriptions ordered within a pharmacy. Ten association rules were achieved from the assigned pharmaceutical drugs in those prescriptions using the aforementioned Apriori algorithm. The accuracy of these rules is also manually studied and reviewed by a physician. Among these association rules, Vitamin D and Calcium pills are the most interrelated medications, and Omeprazole and Metronidazole rankd second in terms of association. The results of this study provide useful feedback information about associations among drugs.
Highlights
Increasing growth of data in different fields and the need for data analysis to obtain useful information and results have made researchers face diverse difficulties
The software code was written to be used for entering these prescriptions into the database. The data inside this database were converted into a single format in order for the data mining software applied in this research to be able to work on it
Ten rules were obtained after the implementation of our proposed Apriori algorithm, which were shown as antecedent and subsequent
Summary
Increasing growth of data in different fields and the need for data analysis to obtain useful information and results have made researchers face diverse difficulties. KDD is the process of discovering useful knowledge from a collection of data. Medical data are unique in comparison with the data generated in other fields They require more precision because of fact that prescriptions contain individuals’ personal and private information, in which simple mistakes can cause considerable ethical issues [10]. Attempts have been made to clarify what drug items within the medical prescriptions brought to the drugstores are inter-dependent. To achieve this goal, a completely real database, from which valid information can be extracted, has to be available. The information of a drugstore is manually collected, which is an extremely time consuming task
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