Comparison of Fuzzy Diagnosis with K-Nearest Neighbor and Naïve Bayes Classifiers in Disease Diagnosis
The main objective of this paper is to investigate the performance of fuzzy disease diagnosis by comparing its results with two statistical classification methods used in the diagnosis of diseases namely the K-Nearest Neighbor and the Naïve Bayes classifiers. The comparisons were made u...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EduSoft publishing
2011-05-01
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| Series: | Brain: Broad Research in Artificial Intelligence and Neuroscience |
| Subjects: | |
| Online Access: | http://brain.edusoft.ro/index.php/brain/article/view/201 |