Identifying High-risk Groups of Illness In The Clinic Of Iranian Traditional Medicine Using Data mining

Highlight: Data Mining and Clustering algorithm can Identify the High-risk Groups of Illness in order to understand more preventive activities of common diseases and maximize the effectiveness of treatment and reduce the side effects and disability of the disease. Abstract:Traditional medicine emphasizes the right lifestyle to prevent illness. Principles and methods of treatment in health centers without using data analysis techniques and information will not be useful. The main task of the Iranian traditional medicine or Iranian medicine is to maintain the health of the people. Traditional medicine helps to promote the health of people in the community by changing people s lifestyle.Objectives: The use of Iranian Traditional Medicine and the valuable and rich treasures of this precious heritage are of great interests in scientific advancements for the promotion of human knowledge and the opening of new visions in the both field of Traditional Medicine and Classical medicine.Method:The research method, with emphasis on identifying the number of diseases, has classified the most important common diseases in terms of their number and type. Data mining is a complex process to identify patterns and models that are accurate, new and potentially useful, in a large amount of data, in such a way that these patterns and models can be understood by humans. After data collection on the number of diseases in the Iranian Traditional Medicine clinic with using Excel software, Data Clementine 12.0 software was used to model the data. According to the model and results, more appropriate planning was done for the therapeutic activities. Result:Using the software, the number of diseases is clustered. By reviewing these results, useful information was gathered on the number and type of diseases in different age groups. By performing the Clementine 12.0 data mining software, the age groups were split into clusters 1 and 2, with cluster 1 having the minimum number of illness and cluster 2 having the maximum number of illness rate during the examination period. With the proposal of a preventive treatment methods for the cluster groups 2 that have the maximum rate, appropriate measures can be taken to prevent or mitigate the illness or weakness of these groups.

کلیدواژه ها:

Iranian Traditional Medicine ، High-risk Groups of Illness ، Data Mining ، Clustering