Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Caroline Quill"'
Publikováno v:
PLoS ONE, Vol 13, Iss 11, p e0204920 (2018)
Acute Kidney Injury (AKI), a sudden decline in kidney function, is associated with increased mortality, morbidity, length of stay, and hospital cost. Since AKI is sometimes preventable, there is great interest in prediction. Most existing studies con
Externí odkaz:
https://doaj.org/article/1ae1c44887e54ec8b119dd04f10c2635
Autor:
Samuel Weisenthal, Samuel J. Weisenthal, Caroline Quill, Jiebo Luo, Henry Kautz, Samir Farooq, Martin Zand
Publikováno v:
Journal of Clinical and Translational Science, Vol 1, Pp 17-18 (2017)
OBJECTIVES/SPECIFIC AIMS: Our objective was to develop and evaluate a machine learning pipeline that uses electronic health record (EHR) data to predict acute kidney injury (AKI) during rehospitalization for patients who did not have an AKI episode i
Externí odkaz:
https://doaj.org/article/02821db5ab9745af8e41d1579375ae38
Background: Lung-protective ventilation is often used in critically ill patients with acute respiratory failure, including those without acute respiratory distress syndrome. While disparities exist in the delivery of critical care based on gender, ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9db9d5c2f1d1b2c78d5dd891751be34e
https://doi.org/10.21203/rs.3.rs-1217783/v1
https://doi.org/10.21203/rs.3.rs-1217783/v1
Publikováno v:
Joint Commission journal on quality and patient safety. 47(2)
Publikováno v:
Critical Care Medicine. 47:834