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Lung mass density prediction using machine learning based on ultrasound surface wave elastography and pulmonary function testinga)

Objective: The objective of this study is to predict in vivo lung mass density for patients with interstitial lung disease using different gradient boosting decision tree (GBDT) algorithms based on measurements from lung ultrasound surface wave elastography (LUSWE) and pulmonary function testing (PF...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:J Acoust Soc Am
Päätekijät: Zhou, Boran, Bartholmai, Brian J., Kalra, Sanjay, Osborn, Thomas, Zhang, Xiaoming
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Acoustical Society of America 2021
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC7904317/
https://ncbi.nlm.nih.gov/pubmed/33639787
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1121/10.0003575
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