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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Nasiru Garba Noma
التنسيق:	أطروحة
اللغة:	الإنجليزية الإنجليزية
منشور في:	2014
الموضوعات:	Q Science (General)
الوصول للمادة أونلاين:	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

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