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Table 2 Descriptive statistics

From: Symptom clusters among cancer survivors: what can machine learning techniques tell us?

 

Mean

SD

 

N

%

Age

60.52

11.31

   

Gender

  

Female

701

67.99%

  

Male

330

32.01%

Education

  

Elementary school

24

2.33%

  

High school

164

15.91%

  

Vocational education

590

57.23%

  

College

115

11.15%

  

University

107

10.38%

  

Post-doctoral

23

2.23%

  

Other

8

0.78%

Cancer type

  

Breast cancer

504

48.88%

  

Colon cancer

182

17.65%

  

Lymphoma

73

7.08%

  

Head and neck cancer

60

5.82%

  

Rectal cancer

40

3.88%

  

Other

39

3.78%

  

Lung cancer

31

3.01%

  

Prostate cancer

29

2.81%

  

Gynecologic cancer

20

1.94%

  

Bladder or kidney cancer

17

1.65%

  

Skin cancer

11

1.07%

  

Blood cancer

9

0.87%

  

Esophageal cancer

5

0.48%

  

Brain cancer

4

0.39%

  

Pancreatic or liver cancer

4

0.39%

  

Stomach cancer

3

0.29%

Treatment status

  

Treatment completed

614

59.55%

  

Currently being treated

172

16.68%

  

Not yet treated

94

9.12%

  

Unknown

80

7.76%

  

No treatment

71

6.89%

Treatment type

  

Surgical

743

79.04%

  

Chemotherapy

103

10.96%

  

Radiation

38

4.04%

  

Chemoradiation

24

2.55%

  

Other

10

1.06%

  

Hormone therapy

7

0.74%

  

Wait-and-see

7

0.74%

  

Immunotherapy

4

0.43%

  

Unknown

4

0.43%