Leveraging AI and Machine Learning to Develop and Evaluate a Contextualized User-Friendly Cough Audio Classifier for Detecting Respiratory Diseases: Protocol for a Diagnostic Study in Rural Tanzania (Preprint)
Kahabi Ganka Isangula,
Rogers John Haule
Abstract:BACKGROUND
Respiratory diseases, including active Tuberculosis (TB), Asthma, and Chronic Obstructive Pulmonary Disease (COPD), constitute substantial global health challenges, necessitating timely and accurate diagnosis for effective treatment and management.
OBJECTIVE
This research seeks to develop and evaluate a non-invasive user-friendly artificial intelligence (AI)-powered cough audio class… Show more
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