A machine-learning based approach to quantify fine crackles in the diagnosis of interstitial pneumonia: A proof-of-concept study

Fine crackles are frequently heard in patients with interstitial lung diseases (ILDs) and are known as the sensitive indicator for ILDs, although the objective method for analyzing respiratory sounds including fine crackles is not clinically available. We have previously developed a machine-learning...

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Detalles Bibliográficos
Autores principales: Horimasu, Yasushi, Ohshimo, Shinichiro, Yamaguchi, Kakuhiro, Sakamoto, Shinjiro, Masuda, Takeshi, Nakashima, Taku, Miyamoto, Shintaro, Iwamoto, Hiroshi, Fujitaka, Kazunori, Hamada, Hironobu, Sadamori, Takuma, Shime, Nobuaki, Hattori, Noboru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
6700
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7899847/
https://www.ncbi.nlm.nih.gov/pubmed/33607819
http://dx.doi.org/10.1097/MD.0000000000024738

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7899847/
https://www.ncbi.nlm.nih.gov/pubmed/33607819
http://dx.doi.org/10.1097/MD.0000000000024738

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