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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...

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Détails bibliographiques
Publié dans:J Acoust Soc Am
Auteurs principaux: Zhou, Boran, Bartholmai, Brian J., Kalra, Sanjay, Osborn, Thomas, Zhang, Xiaoming
Format: Artigo
Langue:Inglês
Publié: Acoustical Society of America 2021
Sujets:
Accès en ligne: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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