@article{(Open Science Index):https://publications.waset.org/pdf/10001856,
	  title     = {A Study on the Assessment of Prosthetic Infection after Total Knee Replacement Surgery},
	  author    = {Chang and  Chun-Lang and  Liu and  Chun-Kai},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Health and Medical Engineering},
	  volume    = {9},
	  number    = {5},
	  year      = {2015},
	  pages     = {462 - 466},
	  ee        = {https://publications.waset.org/pdf/10001856},
	  url   	= {https://publications.waset.org/vol/101},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 101, 2015},
	}