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

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

Objectives:. 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:...

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Bibliographic Details
Main Authors: Gregory B. Rehm, MS, Irene Cortés-Puch, MD, Brooks T. Kuhn, MD, MAS, Jimmy Nguyen, RRT, Sarina A. Fazio, PhD, RN, Michael A. Johnson, MD, PhD, Nicholas R. Anderson, PhD, Chen-Nee Chuah, PhD, Jason Y. Adams, MD, MS
Format: Article
Language:English
Published: Wolters Kluwer 2021-01-01
Series:Critical Care Explorations
Online Access:http://journals.lww.com/10.1097/CCE.0000000000000313

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http://journals.lww.com/10.1097/CCE.0000000000000313

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