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Correlating exhaled aerosol images to small airway obstructive diseases: A study with dynamic mode decomposition and machine learning
BACKGROUND: Exhaled aerosols from lungs have unique patterns, and their variation can be correlated to the underlying lung structure and associated abnormities. However, it is challenging to characterize such aerosol patterns and differentiate their difference because of their complexity. This chall...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6354993/ https://www.ncbi.nlm.nih.gov/pubmed/30703132 http://dx.doi.org/10.1371/journal.pone.0211413 |