Cargando…
Pulmonary disease detection and classification in patient respiratory audio files using long short-term memory neural networks
INTRODUCTION: In order to improve the diagnostic accuracy of respiratory illnesses, our research introduces a novel methodology to precisely diagnose a subset of lung diseases using patient respiratory audio recordings. These lung diseases include Chronic Obstructive Pulmonary Disease (COPD), Upper...
Autores principales: | Zhang, Pinzhi, Swaminathan, Alagappan, Uddin, Ahmed Abrar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656606/ https://www.ncbi.nlm.nih.gov/pubmed/38020156 http://dx.doi.org/10.3389/fmed.2023.1269784 |
Ejemplares similares
-
Dataset for file fragment classification of audio file formats
por: Khodadadi, Atieh, et al.
Publicado: (2019) -
A deep neural network using audio files for detection of aortic stenosis
por: Voigt, Ingo, et al.
Publicado: (2022) -
File interchange handbook: for professional images, audio and metadata
por: Gilmer, Brad
Publicado: (2004) -
Hiding data in audio files: A smoothing-based approach to improve the quality of the stego audio
por: Ahmad, Tohari, et al.
Publicado: (2020) -
Long-term memory representations for audio-visual scenes
por: Meyerhoff, Hauke S., et al.
Publicado: (2022)