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Table 5 Comparison of the results with prior related researches

From: Network analytics and machine learning for predicting length of stay in elderly patients with chronic diseases at point of admission

Study

Condition

Size of dataset

Algorithm

Mean of LOS

Features

Metrics

History

MN

PSN

MAE

R2

This study

All chronic diseases

1,308,041

XGBoost

12.31

Y

Y

Y

4.024

0.375

Xie et al. [8]

All diseases

242,075

RF

None

N

N

N

None

0.15

Liu et al. [46]

All diseases

155,474

LR

4.50

N

N

N

None

0.146

Turgeman et al. [17]

HF

20,321

Cubist model

None

Y

N

N

1

0.79

Zolbanin et al. [48]

COPD

86,338

ANN

5.15

Y

N

N

1.239

0.613

Chang et al. [49]

Ischemic stroke

330

LR

11

N

N

N

None

0.369

Tsai et al. [50]

Heart diseases

2377

ANN

5.73

N

N

N

3.76

None