TY - JFULL AU - Chang and Chun-Lang and Liu and Chun-Kai PY - 2015/6/ TI - A Study on the Assessment of Prosthetic Infection after Total Knee Replacement Surgery T2 - International Journal of Health and Medical Engineering SP - 461 EP - 466 VL - 9 SN - 1307-6892 UR - https://publications.waset.org/pdf/10001856 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 101, 2015 N2 - This study, for its research subjects, uses patients who had undergone total knee replacement surgery from the database of the National Health Insurance Administration. Through the review of literatures and the interviews with physicians, important factors are selected after careful screening. Then using Cross Entropy Method, Genetic Algorithm Logistic Regression, and Particle Swarm Optimization, the weight of each factor is calculated and obtained. In the meantime, Excel VBA and Case Based Reasoning are combined and adopted to evaluate the system. Results show no significant difference found through Genetic Algorithm Logistic Regression and Particle Swarm Optimization with over 97% accuracy in both methods. Both ROC areas are above 0.87. This study can provide critical reference to medical personnel as clinical assessment to effectively enhance medical care quality and efficiency, prevent unnecessary waste, and provide practical advantages to resource allocation to medical institutes. ER -