Identification model for hearing loss symptoms using machine learning techniques

• Main Author: Nasiru Garba Noma
• Format: Thesis
• Language: English; English
• Published: 2014
• Subjects: Q Science (General)
• 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

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...