Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Entire DC Network
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, Kahabi Isangula, Rogers John Haule
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, Kahabi Isangula, Rogers John Haule
School of Nursing & Midwifery, East Africa
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 noninvasive user-friendly artificial intelligence (AI)–powered cough audio classifier for detecting these respiratory conditions in rural Tanzania.
Methods:
This is a nonexperimental cross-sectional research with the primary objective of collection and analysis of cough sounds from patients with active TB, asthma, and COPD in outpatient clinics to generate and evaluate a noninvasive cough audio classifier. Specialized cough sound recording devices, designed to be …
Implementation Of Evidence-Based Multiple Focus Integrated Intensified Tb Screening To End Tb (Exit-Tb) Package In East Africa: A Qualitative Study, Kahabi Isangula, Doreen Philbert, Florence Ngari, Tigest Ajeme, Godfather Kimaro, Getnet Yimer, Nicholaus P. Mnyambwa, Winters Muttamba, Irene Najjingo, Aman Wilfred
Implementation Of Evidence-Based Multiple Focus Integrated Intensified Tb Screening To End Tb (Exit-Tb) Package In East Africa: A Qualitative Study, Kahabi Isangula, Doreen Philbert, Florence Ngari, Tigest Ajeme, Godfather Kimaro, Getnet Yimer, Nicholaus P. Mnyambwa, Winters Muttamba, Irene Najjingo, Aman Wilfred
School of Nursing & Midwifery, East Africa
Introduction Tuberculosis (TB) remains a major cause of morbidity and mortality, especially in sub-Saharan Africa. We qualitatively evaluated the implementation of an Evidence-Based Multiple Focus Integrated Intensified TB Screening package (EXIT-TB) in the East African region, aimed at increasing TB case detection and number of patients receiving care.
Objective We present the accounts of participants from Tanzania, Kenya, Uganda, and Ethiopia regarding the implementation of EXIT-TB, and suggestions for scaling up.
Methods A qualitative descriptive design was used to gather insights from purposefully selected healthcare workers, community health workers, and other stakeholders. A total of 27, 13, 14, and 19 …