Table 5 Related works for comparison.

From: Improved patient mortality predictions in emergency departments with deep learning data-synthesis and ensemble models

Prediction

Paper

Algorithms

AUC

Remarks

Mortality

27

LR\(^{1}\)

0.837

 

Mortality

28

LR

0.92

 

Patient urgency

29

DNN\(^{2}\)

0.86

 

Patient urgency

29

LR

0.74

 

Patient urgency

29

XGBoost

0.85

 

Patient urgency

29

RF\(^{3}\)

0.85

 

ICU admission

30

RF

0.88

COVID-19 patients

ICU admission

30

LR\(^{4}\)

0.86

COVID-19 patients

Mortality

30

RF

0.93

COVID-19 patients

Mortality

30

LR

0.84

COVID-19 patients

Mortality

31

LR

0.832

 

Mortality

31

SVM\(^{5}\)

0.802

 

Mortality

31

XGBoost

0.837

 

Mortality

32

XGBoost

0.90

 
  1. \(^{1}\) Logistic regression \(^{2}\) Deep neural network \(^{3}\) Random forest \(^{4}\) Logistic regression \(^{5}\) Support vector machine.
Back to article page