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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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Bibliografske podrobnosti
izdano v:PLoS One
Main Authors: Zeiberg, Daniel, Prahlad, Tejas, Nallamothu, Brahmajee K., Iwashyna, Theodore J., Wiens, Jenna, Sjoding, Michael W.
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science 2019
Teme:
Online dostop: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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