Machine Learning for Automated Classification of Abnormal Lung Sounds Obtained from Public Databases: A Systematic Review

Pulmonary auscultation is essential for detecting abnormal lung sounds during physical assessments, but its reliability depends on the operator. Machine learning (ML) models offer an alternative by automatically classifying lung sounds. ML models require substantial data, and public databases aim to...

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Detalles Bibliográficos
Autores principales: Garcia-Mendez, Juan P., Lal, Amos, Herasevich, Svetlana, Tekin, Aysun, Pinevich, Yuliya, Lipatov, Kirill, Wang, Hsin-Yi, Qamar, Shahraz, Ayala, Ivan N., Khapov, Ivan, Gerberi, Danielle J., Diedrich, Daniel, Pickering, Brian W., Herasevich, Vitaly
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Systematic Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604310/
https://www.ncbi.nlm.nih.gov/pubmed/37892885
http://dx.doi.org/10.3390/bioengineering10101155

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604310/
https://www.ncbi.nlm.nih.gov/pubmed/37892885
http://dx.doi.org/10.3390/bioengineering10101155

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