Table 1 Description of the dataset features.

From: Artificial intelligence used to diagnose osteoporosis from risk factors in clinical data and proposing sports protocols

Sample number

Feature

Units

Range

1

Age

Years

35–85

2

Height

Cm

140–199

3

Weight

Kg

30–120

4

BMI

Kg/m2

18–40

5

The curvature of the spine

Yes (1), no (0)

0.1

6

Family history

Yes (1), no (0)

0.1

7

Vitamin D intake

Yes (1), no (0)

0.1

8

Physical activity (PA)

Yes (1), no (0)

0.1

9

Ca intake

Yes (1), no (0)

0.1

10

Back pain

Yes (1), no (0)

0.1

11

Bone fracture

Yes (1), no (0)

0.1

12

Parathyroid disease

Yes (1), no (0)

0.1

13

Smoking

Yes (1), no (0)

0.1

14

Serum calcium

mg/dL

8–10.5

15

Serum phosphorus

mg/dL

4–6

16

Serum vitamin D

mg/dL

7–50

17

Serum ALP

U/L

70–430

18

menopause

Yes (1), no (0)

0.1

19

menopausal age

Years

45–55

Label

Healthy (1), Osteopenia (2), Osteoporosis (3)

Sport protocols (1–9)