September 1, 2021 Thesis Open Access

Amsalu Fentie Jember

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    <subfield code="a">Robust Cough Analysis System for Diagnosis of Tuberculosis Using Artificial Neural Network</subfield>
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    <subfield code="a">&lt;p&gt;This research proposed a robust and easily applied method for tuberculosis (TB) screening system based on the analysis of patients&amp;#39; cough sounds. There are various existing diagnostic tests for TB, but they are expensive and require highly skilled physicians and laboratory facilities. Therefore, there is a need for a low-cost, quick-to-diagnose, and easily accessible solution for diagnosing TB in developing countries using a patient&amp;#39;s cough sound. The coughing sound of patients with TB have distinct mathematical features or information that can indicate a disease. The use of patients&amp;#39; cough sounds to diagnose pulmonary diseases is an active research field with promising results; however, a robust system for diagnosing tuberculosis using cough sounds is currently unavailable commercially&lt;/p&gt;</subfield>
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