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Diagnoses System of Varicose Disease | ||
| Iraqi Journal of Science | ||
| Article 1, Volume 57, Issue 2, 2016, Pages 1007-1013 | ||
| Author | ||
| Mays M. Hoobi | ||
| Abstract | ||
| The diagnoses system of varicose disease has a good level of performance due to the complexity and uniqueness in patterns of vein of the leg. In addition, the patterns of vein are internal of the body, and its features are hard to duplicate, this reason make this method not easy to fake, and thus make it contains of a good features for varicose disease diagnoses. The proposed system used more than one type of algorithms to produce diagnoses system of varicose disease with high accuracy, in addition, this multi-algorithm technique based on veins as a factor to recognize varicose infection. The obtained results indicate that the design of varicose diagnoses system by applying multi- algorithms (Naïve Bayes and Back-Propagation) produced new system with high accuracy and low (FAR & FRR) as soon as possible. | ||
| Keywords | ||
| Back; Propagation Neural Network; ve Bayes Classifier; Varicose | ||
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