Name
Abstract | ||
|---|---|---|
Emergency Department (ED) triage is a process of determining illness severity and accordingly assigning patient priority. The Emergency Severity Index (ESI) is a 5-level acuity categorization system that aides in triage. This paper compared the capabilities of predicting ESI level using ordinal logistic regression (OLR), artificial neural networks (NNs), and naive Bayesian networks (NBNs). Data were obtained from Susquehanna Williamsport Hospital for 947 patients over a one month period in 2008. It contained the assigned ESI level, chief complaint, systolic blood pressure, pulse, respiration rate, temperature, oxygen saturation level (SaO"2), age, gender, and pain level. An OLR model was fit using a subset of these covariates. NBNs and NNs were modeled to relax the inherent assumptions of linearity and covariate independence in logistic regression. These three techniques were compared using incremental training dataset sizes between 50% and 100% of given data. All models were 60% accurate using the entire dataset for training. It was found that NBNs and NNs were robust to data size changes and all models had evaluation speeds of less than 0.5s. At this time the use of NBNs is recommended considering speed, accuracy, data utilization, model flexibility, and interpretability of the model. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.eswa.2013.06.026 | Expert Syst. Appl. |
Keywords | Field | DocType |
pain level,model comparison,entire dataset,model flexibility,data utilization,emergency severity index,emergency severity index level,esi level,oxygen saturation level,olr model,data size change,emergency department,ordinal logistic regression,neural networks | Ordered logit,Data mining,Computer science,Artificial intelligence,Logistic regression,Interpretability,Covariate,Naive Bayes classifier,Emergency department,Emergency Severity Index,Triage,Statistics,Machine learning | Journal |
Volume | Issue | ISSN |
40 | 17 | 0957-4174 |
Citations | PageRank | References |
1 | 0.37 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seifu J. Chonde | 1 | 1 | 0.37 |
| Omar M. Ashour | 2 | 22 | 1.55 |
| David A. Nembhard | 3 | 75 | 10.36 |
| Gül E. Okudan Kremer | 4 | 26 | 7.37 |