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.

Journal: JMIR research protocols
PMID:

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.

Authors

  • Kahabi Ganka Isangula
    School of Nursing and Midwifery, Aga Khan University, Dar Es Salaam, United Republic of Tanzania.
  • Rogers John Haule
    School of Nursing and Midwifery, Aga Khan University, Dar Es Salaam, United Republic of Tanzania.