Predicting hearing loss symptoms from Audiometry data using FP-Growth Algorithm and Bayesian Classifier
This paper presents the results of applying machine learning algorithms to predict hearing loss symptoms given air and bone conduction audiometry thresholds. FP-Growth (frequent pattern growth) algorithm was employed as a feature extraction technique. The effect of extracting naïve Bayes classifier’...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/9888/1/NasirNoma-MKAG-AJBAS.pdf http://eprints.utem.edu.my/id/eprint/9888/ |
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