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Machine Learning Classifier Models Can Identify Acute Respiratory Distress Syndrome Phenotypes Using Readily Available Clinical Data
Rationale: Two distinct phenotypes of acute respiratory distress syndrome (ARDS) with differential clinical outcomes and responses to randomly assigned treatment have consistently been identified in randomized controlled trial cohorts using latent class analysis. Plasma biomarkers, key components in...
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| Publicado en: | Am J Respir Crit Care Med |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
American Thoracic Society
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7528785/ https://ncbi.nlm.nih.gov/pubmed/32551817 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1164/rccm.202002-0347OC |
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