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...

書誌詳細
第一著者:	Nasiru Garba Noma
フォーマット:	学位論文
言語:	英語英語
出版事項:	2014
主題:	Q Science (General)
オンライン･アクセス:	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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