Disease Diagnosis Using Hierarchical Algorithm and Request Preference Technique Based on Solution Similarity

Abstract

In light of the technological development taking place in the world in many fields، especially in the field of diagnosing diseases, if the diagnosis process for some diseases suffers due to the occurrence of cases of error in diagnosis due to the similarity of symptoms and the similarity of pathological analyzes، or، consequently، the inability of the therapist to provide an accurate description of the disease that the patient suffers from. AHP (Analytical Hierarchy Process) which is considered one of the most important methods that can be adopted to classify diseases and make medical decisions، where real data was taken for 1000 patients from Al-Kadhimiya Teaching Hospital for seven diseases, namely (anaemia, high lipids، and abnormalities in the proportion of fats). Fats، kidney failure، hepatitis، liver disorders، and jaundice، which showed that the data are consistent, and then the application of the technique of completing the request by similarity with the solution (Technique For order Preference by Similarity To identical soluation)TOPSIS، seven priorities were obtained according to the relative importance of diseases to physicians، and after their descending order، the highest importance was for failure disease Renal, and the lowest value for jaundice،and according to the results obtained, it was found that the AHP method, and topsis, have the ability to distinguish different diseases.