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Machine learning for patient risk stratification for acute respiratory distress syndrome
BACKGROUND: Existing prediction models for acute respiratory distress syndrome (ARDS) require manual chart abstraction and have only fair performance–limiting their suitability for driving clinical interventions. We sought to develop a machine learning approach for the prediction of ARDS that (a) le...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6438573/ https://ncbi.nlm.nih.gov/pubmed/30921400 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0214465 |
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