Application of deep learning algorithms in lung sound classification: A systematic review since 2015

Sundaraj, Kenneth and Neili, Zakaria (2025) Application of deep learning algorithms in lung sound classification: A systematic review since 2015. SSRG International Journal of Electronics and Communication Engineering, 12 (4). pp. 204-214. ISSN 2348-8549 (In Press)

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Abstract

The article systematically explored the application of deep learning for lung sound classification in three popular scientific databases – PubMed, ScienceDirect and IEEE Xplore, for articles published between 2015 and 2024. Using specific keywords combined with deep learning terms, we identified 1428 articles. Based on their titles, abstracts and content, 33 articles were deemed relevant and selected for review. The article’s thorough analysis revealed that deep learning algorithms have outperformed traditional machine learning techniques in lung sound classification.

Item Type:	Article
Uncontrolled Keywords:	Classification systems, Deep Learning, Lung sounds, Machine Learning, Systematic review
Divisions:	Faculty Of Electronics And Computer Technology And Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	30 Dec 2025 03:13
Last Modified:	30 Dec 2025 03:13
URI:	http://eprints.utem.edu.my/id/eprint/29312
Statistic Details:	View Download Statistic

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