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Table 3 High risk cluster profiles

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

Symptom/Health Determinant

Noise

Cluster 1

Cluster 2

Cluster 3

Cluster 4

Cluster 5

Cluster 6

Cluster 7

Psychological complaints

225

65

 

1

6

36

30

52

Fatigue

114

  

1

6

21

1

48

Physical limitations daily life

100

 

27

 

18

33

5

46

Memory / concentration

53

    

1

3

26

Relaxation

123

    

1

31

25

Social life

82

  

12

 

9

29

24

Insomnia

66

  

1

1

3

2

21

Pain

64

  

1

 

10

1

19

Intimacy and sexuality

74

  

1

15

11

 

15

Hearing problems

107

   

4

26

1

15

Shortness of breath

47

   

2

15

1

9

Body weight

35

  

22

14

3

 

8

Constipation

25

     

3

3

Smoking

41

  

3

 

6

1

2

Diarrhea

33

      

2

Body image

15

3

     

1

Relationship with partner

21

    

1

4

1

Alcohol use

22

  

12

2

 

2

 

Lack of appetite

23

       

Relationship with children

19

       

Nausea or vomiting

18

       

Financial matters

17

       

Tinnitus

6

       
  1. Note: The cell numbers represent the number of patients with a certain symptom / health determinant in any given cluster. Noise indicates data points that do not fit into any of the identified clusters
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BMC Medical Research Methodology

ISSN: 1471-2288

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