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Table 1 Descriptive statistics of main variables in our dataset

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

Category

 

Counts (proportion)

Mean (std) of the LOS

Total

–

2,543,758 (100.00%)

12.3 (7.5)

Gender

Male

1,237,624 (48.65%)

12.4 (7.6)

Female

1,306,134 (51.35%)

12.2 (7.4)

Years

2015

260,745 (10.25%)

13.2 (8.0)

2016

423,586 (16.65%)

12.6 (7.6)

2017

550,686 (21.65%)

12.4 (7.5)

2018

610,795 (24.01%)

12.2 (7.5)

2019

697,946 (27.44%)

11.9 (7.4)

Age group

65–69

594,045 (23.35%)

11.8 (7.3)

70–74

645,257 (25.37%)

12.1 (7.3)

75–79

575,939 (22.64%)

12.3 (7.3)

80–84

416,941 (16.39%)

12.6 (7.5)

85–89

228,725 (8.99%)

13.4 (8.4)

90 + 

82,851 (3.26%)

13.9 (9.1)

Ethnic group

Han

2,533,984 (99.62%)

12.3 (7.5)

Minority

9,774 (0.38%)

12.6 (7.8)