A telemedicine software application for asthma severity levels identification using wheeze sounds classification

• Main Authors: Nabi, Fizza Ghulam, Shafiq, Muhammad, Sundaraj, Kenneth, Iqbal, Muhammad Shahid, Palaniappan, Rajkumar
• Format: Article
• Language: English
• Published: Elsevier B.V. 2022
• Online Access: http://eprints.utem.edu.my/id/eprint/26599/2/2022%20FIZZA%20BBE.PDF; http://eprints.utem.edu.my/id/eprint/26599/; https://www.sciencedirect.com/science/article/pii/S0208521622000973

Early and precise knowledge of asthma severity levels may help in effective precautions, proper medication, and follow-up planning for the patients. Keeping this in view, we propose a telemedicine application that is capable of automatically identifying the severity level of asthma patients by using...