Diagnose abnormal nasal based on the C4.5 modeling using cross section area curve from acoustic rhinometry
Thisresearch proposes methods to classify the pattern of unusual nasal cavity using Ripper Rule, C4.5 decision tree, K-Nearest neighbor which aims to help physicians classify abnormal nasal cavity from acoustic rhinometry signal. The experiments showed that the algorithm was best effective classific...
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| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/31567 |
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| Institution: | Mahidol University |