Two-Center Observational Study of the Accuracy of a Bayes Network for Short-Term Outcome Prediction in Cholecystectomy Patients

2013 ◽  
Vol 30 (1) ◽  
pp. 28-34 ◽  
Author(s):  
Andrej Udelnow ◽  
Agnes Schmidt ◽  
Rainer Muche ◽  
Doris Henne-Bruns ◽  
Peter Würl ◽  
...  
Keyword(s):  
Observational Study ◽  
Outcome Prediction ◽  
Short Term ◽  
Term Outcome ◽  
Bayes Network ◽  
Short Term Outcome

scholarly journals UTILITY OF THE SPPB FOR SHORT-TERM OUTCOME PREDICTION OF MULTIMORBID GERIATRIC REHABILITANTS

2017 ◽  
Vol 1 (suppl_1) ◽  
pp. 929-929
Author(s):  
S. Grund ◽  
M. Denkinger ◽  
U. Braisch ◽  
C. Marburger ◽  
M. Runge ◽  
...  
Keyword(s):  
Outcome Prediction ◽  
Short Term ◽  
Term Outcome ◽  
Short Term Outcome

scholarly journals AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia

2020 ◽  
Author(s):  
Guillaume Chassagnon ◽  
Maria Vakalopoulou ◽  
Enzo Battistella ◽  
Stergios Christodoulidis ◽  
Trieu-Nghi Hoang-Thi ◽  
...  
Keyword(s):  
Outcome Prediction ◽  
Data Driven ◽  
Emergency Setting ◽  
Prognostic Role ◽  
Short Term ◽  
Term Outcome ◽  
Automatic Quantification ◽  
Short Term Outcome ◽  
Lung Abnormalities ◽  
Optimal Patient Management

ABSTRACTChest computed tomography (CT) is widely used for the management of Coronavirus disease 2019 (COVID-19) 49 pneumonia because of its availability and rapidity1–3. The standard of reference for confirming COVID-19 relies on microbiological tests but these tests might not be available in an emergency setting and their results are not immediately available, contrary to CT. In addition to its role for early diagnosis, CT has a prognostic role by allowing visually evaluating the extent of COVID-19 lung abnormalities4, 5. The objective of this study is to address prediction of short-term outcomes, especially need for mechanical ventilation. In this multi-centric study, we propose an end-to-end artificial intelligence solution for automatic quantification and prognosis assessment by combining automatic CT delineation of lung disease meeting expert’s performance and data-driven identification of biomarkers for its prognosis. AI-driven combination of variables with CT-based biomarkers offers perspectives for optimal patient management given the shortage of intensive care beds and ventilators6, 7.

scholarly journals Short-Term Outcome Prediction by Electroencephalographic Features in Children Treated with Therapeutic Hypothermia After Cardiac Arrest

2010 ◽  
Vol 14 (1) ◽  
pp. 37-43 ◽  
Author(s):  
Sudha Kilaru Kessler ◽  
Alexis A. Topjian ◽  
Ana M. Gutierrez-Colina ◽  
Rebecca N. Ichord ◽  
Maureen Donnelly ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Therapeutic Hypothermia ◽  
Outcome Prediction ◽  
Short Term ◽  
Term Outcome ◽  
Short Term Outcome
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