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Table 1 Patient information for 9 patients

From: Can some algorithms of machine learning identify osteoporosis patients after training and testing some clinical information about patients?

 

Patient’s number

Categories

1

2

3

4

5

6

7

8

9

Diagnosis

Y

Y

N

Y

N

Y

N

N

Y

Sex

F

F

F

F

F

F

M

M

F

Age, year

76

74

66

70

51

77

55

58

88

Height, cm

160

155

158

159

160

160

174

175

155

Weight, kg

65

55

56.5

60

70

55

85

80

55

Body mass index

23.44

22.89

22.63

23.73

27.34

21.48

28.08

26.12

22.89

Smoking

N

N

N

N

N

N

N

N

N

Hypertension

N

N

Y

N

Y

Y

N

N

Y

diabetes

N

N

Y

N

N

N

Y

N

N

Trauma

N

N

N

Y

N

Y

N

Y

Y

History of osteoporosis

N

N

N

Y

N

Y

N

Y

Y

Alkaline phosphatase, U/L

65

193

46

71

50

58

60

99

72

Calcium, mmol/L

2.2

2.21

2.06

2.08

2.19

3.24

2.15

2.21

2.25

Phosphorus, mmol/L

0.91

0.94

0.96

0.93

0.92

1.16

0.72

1.12

0.82

Proteinuria

-

-

-

-

-

-

-

-

+

Osteocalcin, ng/ml

9.49

22.77

ND

ND

ND

27.06

ND

ND

10.14

  1. Note: N, no; Y, yes; -, negative; +, positive; ND, not done
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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