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Table 1 Demographic characteristics of patients in model training and testing data sets

From: Predicting the cumulative risk of death during hospitalization by modeling weekend, weekday and diurnal mortality risks

 

Training data (10,745,181 admissions)

Test data (987,079 admissions)

% of training data

Death rates

% of test data

Death rates

Age distribution

    

[0–5]

10.2%

0.3%

8.3%

0.2%

[615]

4.4%

0.1%

3.6%

0.1%

[16–35]

21.9%

0.1%

18.6%

0.1%

[36–55]

25.2%

0.5%

23.3%

0.4%

[56–65]

13.5%

1.4%

14.8%

1.0%

[66–75]

12.8%

2.8%

14.8%

1.7%

[76–85]

9.9%

6.1%

13.0%

3.5%

> = 85

2.2%

19.6%

3.7%

9.5%

Charlson score of comorbidity

    

Zero to mild (0)

68.6%

0.2%

65.5%

0.2%

Mild [1, 2]

20.0%

2.7%

20.2%

1.7%

Moderate [3, 4]

6.8%

5.7%

8.5%

3.5%

Severe [> = 5]

4.5%

14.7%

5.8%

10.1%

Gender

    

Female

54.7%

1.5%

53.6%

1.1%

Male

45.3%

2.1%

46.4%

1.6%

Overall death rates

1.8%

 

1.3%

 

LOS

    

Mean/Std. deviation

3.21/11.42

 

2.75/5.134

 

Median

1.00

 

1.00

 

Range

599

 

171

 

Interquartile range

2

 

1