Abstract: In this study, we suggest an alternative approach based on Timed Petri net model (TPN) for diagnose (diagnosing) osteoporosis disease. We inspired from the decision tree which has been obtained from the physician`s questionnaire. Data mining had (has) been used to form this decision tree. Consequently, the proposed method is carried out on 60 female patients for diagnosis application and the results are compared with the clinical diagnosis. The overall success is about 90%.