Use of Machine Learning to Screen for Acute Respiratory Distress Syndrome Using Raw Ventilator Waveform Data

To develop and characterize a machine learning algorithm to discriminate acute respiratory distress syndrome from other causes of respiratory failure using only ventilator waveform data. DESIGN: Retrospective, observational cohort study. SETTING: Academic medical center ICU. PATIENTS: Adults admitte...

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Detalles Bibliográficos
Autores principales: Rehm, Gregory B., Cortés-Puch, Irene, Kuhn, Brooks T., Nguyen, Jimmy, Fazio, Sarina A., Johnson, Michael A., Anderson, Nicholas R., Chuah, Chen-Nee, Adams, Jason Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Predictive Modeling Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803688/
https://www.ncbi.nlm.nih.gov/pubmed/33458681
http://dx.doi.org/10.1097/CCE.0000000000000313

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803688/
https://www.ncbi.nlm.nih.gov/pubmed/33458681
http://dx.doi.org/10.1097/CCE.0000000000000313

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