EXPERT SYSTEM FOR DIAGNOSIS OF BONE DISEASE USING CASE-BASED REASONING METHOD

Abstract

This research focuses on the implementation of Case-Based Reasoning for an expert system for diagnosing bone diseases. It takes data in the form of types of bone disease, and the symptoms of each type of bone disease. After that, the calculation is carried out using the CBR method, where the symptoms selected by the patient will be considered as new cases, then a match is made between the symptoms of the new cases and the symptoms of the old cases that have been stored in the database, if the symptoms of the new case are the same as the symptoms of the old case, then it is given a value of 1, if it is not the same, then it is given a value of 0, then a calculation is made between the match value and the weight value of each symptom, the result of the calculation is the value of the level of similarity between the new case and the old case, the old case that has the highest similarity value will be taken to be used in solving the problems experienced by the patient. In making the expert system, the CBR method uses the PHP programming language for website creation and MySQL for database management. The system built is web-based, this research was conducted through literature reviews and direct interviews. The result is the disease suffered by the patient and the treatment solution.