September 1, 2021 Thesis Open Access

Amsalu Fentie Jember

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{
  "description": "<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>", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "creator": [
    {
      "@type": "Person", 
      "name": "Amsalu Fentie Jember"
    }
  ], 
  "headline": "Robust Cough Analysis System for Diagnosis of Tuberculosis Using Artificial Neural Network", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2021-09-01", 
  "url": "https://nadre.ethernet.edu.et/record/2542", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.20372/nadre:2542", 
  "@id": "https://doi.org/10.20372/nadre:2542", 
  "@type": "ScholarlyArticle", 
  "name": "Robust Cough Analysis System for Diagnosis of Tuberculosis Using Artificial Neural Network"
}