Predicting hospital admission at emergency department triage using machine learning
WS Hong, AD Haimovich, RA Taylor - PloS one, 2018 - journals.plos.org
… Prediction models in medicine seek to improve patient care and increase logistical … learning
can robustly predict hospital admission at emergency department (ED) triage and that the …
can robustly predict hospital admission at emergency department (ED) triage and that the …
Predictive analytics for hospital admissions from the emergency department using triage information
… Furthermore, we would like to use concurrent prediction of LOS and ED admission to improve
model accuracy by introducing a LOS based classifier. Finally, we would like to experiment …
model accuracy by introducing a LOS based classifier. Finally, we would like to experiment …
Predicting hospital admission at the emergency department triage: A novel prediction model
… create a model that can predict a patient's need for hospital admission at the time of triage. …
The threshold probability of admission that optimized both sensitivity and specificity of the …
The threshold probability of admission that optimized both sensitivity and specificity of the …
An integrated optimization and machine learning approach to predict the admission status of emergency patients
… on optimized prediction models is developed to determine the admission status of ED patients
to help … models is to predict patient admission status during a patient triage, only initial …
to help … models is to predict patient admission status during a patient triage, only initial …
Emergency department triage prediction of clinical outcomes using machine learning models
… —may improve prediction abilities, it is impractical at ED triage … sensitivity in predicting ICU
admission and in-hospital mortality. … under-triaged into lower-acuity ESI levels (levels 3 to 5), …
admission and in-hospital mortality. … under-triaged into lower-acuity ESI levels (levels 3 to 5), …
Predicting hospital admissions at emergency department triage using routine administrative data
Y Sun, BH Heng, SY Tay, E Seow - Academic Emergency …, 2011 - Wiley Online Library
… predict, at the time of triage, whether a need for hospital admission exists for emergency
department … contribute to systemwide hospital changes designed to improve ED throughput. The …
department … contribute to systemwide hospital changes designed to improve ED throughput. The …
Optimizing triage and hospitalization in adult general medical emergency patients: the triage project
P Schuetz, P Hausfater, D Amin, S Haubitz… - BMC emergency …, 2013 - Springer
… potential to improve triage and thereby … from admission on the ED throughout their hospital
stays. We hypothesize that accurate prediction of medical risk and early recognition of care …
stays. We hypothesize that accurate prediction of medical risk and early recognition of care …
A gradient boosting machine learning model for predicting early mortality in the emergency department triage: devising a nine-point triage score
… predicting mortality at the triage level. By validating this automatic tool, our purpose is to
improve … to 0.92 for critical care outcome (in-hospital mortality or direct admission to an intensive …
improve … to 0.92 for critical care outcome (in-hospital mortality or direct admission to an intensive …
Triage: limitations in predicting need for emergent care and hospital admission
JC Brillman, D Doezema, D Tandberg, DP Sklar… - Annals of emergency …, 1996 - Elsevier
… to a more acute triage classification to maximize sensitivity at … required admission to an ED,
rather than to an urgent care … of 98,086 patients were triaged to an acute care clinic and 1.2…
rather than to an urgent care … of 98,086 patients were triaged to an acute care clinic and 1.2…
Triage nurse prediction of hospital admission
B Stover-Baker, B Stahlman, M Pollack - Journal of Emergency Nursing, 2012 - Elsevier
… Therefore every effort should be made to optimize patient flow through the emergency
department to minimize these undesirable consequences of overcrowding and to improve patient …
department to minimize these undesirable consequences of overcrowding and to improve patient …