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Table 1 Patient demographics and symptom and comorbidity prevalence

From: Identifying and evaluating clinical subtypes of Alzheimer’s disease in care electronic health records using unsupervised machine learning

 

Percent

N

Age

  

42–73

19.41

1954

74–78

20.04

2017

79–82

20.45

2058

83–87

20.24

2037

88+

19.87

2000

Gender

  

Male

33.79

3401

Female

66.21

6664

Smoking status

  

Non-Smoker

56.55

5692

Ex-smoker

32.94

3315

Current smoker

9.83

989

Drinking Status

  

Non-drinker

27.79

2797

Ex-drinker

7.17

722

Occasional drinker

17.59

1770

Current drinker

1.19

120

Symptom

  

Memory

78

7851

Confusion

24.8

2496

Neuropsychological symptoms

57.55

5792

Motor Symptoms

4.44

447

Comorbidity

  

Anxiety

21.99

2213

Atherosclerosis

5.61

565

Atrial fibrillation

13.02

1310

Cancer

30.29

3049

Depression

27.06

2724

Diabetes

14.93

1503

Haemorrhagic stroke

1.91

192

Hearing loss

35.09

3532

Heart failure

7.43

748

Hyperglycaemia

1.42

143

Hypertension

60.55

6094

Kidney disease

29.01

2920

Rheumatoid arthritis

2.49

251