![]() The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health, the Francis Family Foundation, or the Department of Defense. Francis Fellowship Program, CHW) the Department of Defense Army Research Office, Grant W911NF-14-1-0259 (MB, LANA, CHW) the National Center for Research Resources, Grant 5UL1RR025741, which is now at the National Center for Advancing Translational Sciences, Grant 8UL1TR000150 (Northwestern University Clinical and Translational Sciences Institute Enterprise Data Warehouse) and John and Leslie McQuown (LANA). Requests for the full data set including dates of admission, intubation, mortality, and full ventilator data will require approval of the Northwestern Institutional Review Board and should be submitted to the corresponding author ( Full data will be made available for researchers who meet the criteria for access to confidential data as set forth by the Northwestern Institutional Review Board ( ).įunding: This project was supported by the National Institute of General Medical Sciences, Grant T32GM008152 (MB) the National Heart, Lung, and Blood Institute, Grant K23HL118139 and Grant R01HL140362-01A1 (CHW) the Francis Family Foundation (Parker B. A de-identified dataset containing all data required to reproduce our findings is available on a public repository managed by Northwestern University. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: The fully identified data set cannot be shared publicly because it contains HIPAA Protected Health Information. Received: JAccepted: SeptemPublished: September 20, 2019Ĭopyright: © 2019 Bechel et al. PLoS ONE 14(9):Įditor: Lars-Peter Kamolz, Medical University Graz, AUSTRIA (2019) A quantitative approach for the analysis of clinician recognition of acute respiratory distress syndrome using electronic health record data. ![]() Citation: Bechel MA, Pah AR, Shi H, Mehrotra S, Persell SD, Weiner S, et al. ![]()
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