SWIFT: A deep learning approach to prediction of hypoxemic events in critically-Ill patients using SpO2 waveform prediction.

Autor: Akshaya V Annapragada, Joseph L Greenstein, Sanjukta N Bose, Bradford D Winters, Sridevi V Sarma, Raimond L Winslow

Publikováno v: PLoS Computational Biology, Vol 17, Iss 12, p e1009712 (2021)

Hypoxemia is a significant driver of mortality and poor clinical outcomes in conditions such as brain injury and cardiac arrest in critically ill patients, including COVID-19 patients. Given the host of negative clinical outcomes attributed to hypoxe

Externí odkaz: https://doaj.org/article/3746b8c908d3497fb4dec5a63de0bd00

Letter to the Editor in regard to the 'Effects of COVID-19 on in-hospital cardiac arrest: incidence, causes, and outcome' by Roedl et al.'

Autor: Heather Newton, Jordan Duval-Arnould, Elizabeth Hunt, A. D. Krieg, Bradford D. Winters

Publikováno v: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, Vol 29, Iss 1, Pp 1-2 (2021)

Background Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), an emerging virus, has caused a global pandemic. Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, has led to high hospitalization rates worldwide. Little is known abou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87fc61861441fc13cf6cf2a96593ca84
http://europepmc.org/articles/PMC8564593

SWIFT: A Deep Learning Approach to Prediction of Hypoxemic Events in Critically-Ill Patients Using SpO2 Waveform Prediction

Autor: Akshaya Annapragada, Raimond L. Winslow, Sridevi V. Sarma, Bradford D. Winters, Joseph L. Greenstein, Sanjukta N. Bose

Publikováno v: PLoS Computational Biology, Vol 17, Iss 12, p e1009712 (2021)
PLoS Computational Biology
medRxiv
article-version (status) pre
article-version (number) 1

Hypoxemia is a significant driver of mortality and poor clinical outcomes in conditions such as brain injury and cardiac arrest in critically ill patients, including COVID-19 patients. Given the host of negative clinical outcomes attributed to hypoxe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cce77b847d463f4dbbcc72d906e86f0
https://doi.org/10.1101/2021.02.25.21252234

Vent-Lock: A 3D Printed Ventilator Multiplexer to Enhance the Capacity of Treating Patients with COVID-19

Autor: Runhan Tao, Christopher Shallal, Michael Vladimirov, Bo Soo Kim, Justin M. Sacks, Michael Talcott, Alberto Torres, Bradley S. Kushner, James K. Guest, Julie Caffrey, Helen Xun, Bradford D. Winters, Sung Hoon Kang, Mohit Singhala, Justin Unger, Brockett Horne, Margaret M. Frisella, Pooja Yesantharao, Jenna Frye, Michael C. Montana, Broc A. Burke

Mechanical ventilators are essential to patients who become critically ill from acute respiratory distress syndrome (ARDS), and shortages have been reported due to the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We utilized co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3ba99be716faeeae9c2417489c7fed45
https://doi.org/10.1101/2020.09.16.20195230

A comparison of two structured taxonomic strategies in capturing adverse events in U.S. hospitals

Autor: Erin M. Kirley, Bradford D. Winters, John H.M. Austin, Michael A. Rosen

Publikováno v: Health Serv Res

Objective To compare the Agency for Healthcare Research and Quality's Quality and Safety Review System (QSRS) and the proposed triadic structure for the 11th version of the International Classification of Disease (ICD-11) in their ability to capture

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af347d46b1ca35feba3067540003424f
https://doi.org/10.1111/1475-6773.13090