September 1, 2021 Thesis Open Access

Amsalu Fentie Jember

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{
  "DOI": "10.20372/nadre:2542", 
  "author": [
    {
      "family": "Amsalu Fentie Jember"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2021, 
        9, 
        1
      ]
    ]
  }, 
  "abstract": "<p>This research proposed a robust and easily applied method for tuberculosis (TB) screening system based on the analysis of patients&#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&#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&#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</p>", 
  "title": "Robust Cough Analysis System for Diagnosis of Tuberculosis Using Artificial Neural Network", 
  "type": "thesis", 
  "id": "2542"
}