| Research from the informaticsexpertsabout cervical cancer mainly single cell of the Pap smear, increasingly showingthe almost prefect results. 20 features produced by research conducted by Jantzen, Norup, Dounias and Bjerregaard, has now been developed and reviewed. This assessment takes precedence on efficiency features that make a significant contribution (assessed based on the percentage of best feature tool). Until now, the problems that have not been able to solve is to maximize the results of the classification of the 7th grade single cellsofPap Smear. This is due to the lack of research experts with a combination of the best methods that produce maximum results. After reviewing previous studies, classification methods that provide the best value to date is Naive Bayes. For the optimization method used in the present study is the Particle Swarm Optimization. With a combination of methods Naive Bayes and Particle Swarm Optimization, obtained better results from previous research that is 62.67% for the classification of 7classesand 95.70% for the classification of 2classes |
