Lung disease recognition methods using audio-based analysis with machine learning.

ABSTRACT: The use of computer-based automated approaches and improvements in lung sound recording techniques have made lung sound-based diagnostics even better and devoid of subjectivity errors. Using a computer to evaluate lung sound features more thoroughly with the use of analyzing changes in lung sound behavior, recording measurements, suppressing the presence of noise contaminations, and graphical representations are all made possible by computer-based lung sound analysis. This paper starts with a discussion of the need for this research area, providing an overview of the field and the motivations behind it. Following that, it details the survey methodology used in this work. It presents a discussion on the elements of sound-based lung disease classification using machine learning algorithms. T

SUBMITTER: Sabry AH 

PROVIDER: S-EPMC10900411 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature