Identification model for hearing loss symptoms using machine learning techniques
There is potential knowledge inherent in vast amounts of untapped and possibly valuable data generated by healthcare providers. Clinicians rely in their knowledge and experience and the basic diagnostic procedure to determine the likely symptom of a disease. Sometimes, many stages of diagnosis and...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2014
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| Online Access: | http://eprints.utem.edu.my/id/eprint/14995/1/IDENTIFICATION%20MODEL%20FOR%20HEARING%20LOSS%20SYMPTOMS%20USING%2024pages.pdf http://eprints.utem.edu.my/id/eprint/14995/2/Identification%20model%20for%20hearing%20loss%20symptoms%20using%20machine%20learning%20techniques.pdf http://eprints.utem.edu.my/id/eprint/14995/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=92065 |
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