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Deep neural network analyses of spirometry for structural phenotyping of chronic obstructive pulmonary disease
BACKGROUND: Currently recommended traditional spirometry outputs do not reflect the relative contributions of emphysema and airway disease to airflow obstruction. We hypothesized that machine-learning algorithms can be trained on spirometry data to identify these structural phenotypes. METHODS: Part...
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| Vydáno v: | JCI Insight |
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| Hlavní autoři: | , , , , , , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
American Society for Clinical Investigation
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7406302/ https://ncbi.nlm.nih.gov/pubmed/32554922 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1172/jci.insight.132781 |
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