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Table 1 Summary of input variables of clinical case and descriptive statistics

From: Applying machine learning techniques to the identification of late-onset hypogonadism in elderly men

Input variable

Description

Range

Descriptive statistics

Age

Age of aging male (in years)

41–80

μ = 55.61; σ = 7.912

Qmax

Maximal flow rate (ml/s)

3–56

μ = 17.62; σ = 7.111

Qmean

Average flow rate (ml/s)

2–34

μ = 9.76; σ = 4.173

FT

Total flow time (s)

10–119

μ = 35.26; σ = 15.306

IPSS total

Total IPSS score

0–33

μ = 8.11; σ = 6.519

SBP

Systolic blood pressure (mmHg)

80–169

μ = 123.42; σ = 13.740

DBP

Diastolic blood pressure (mmHg)

43–111

μ = 73.77; σ = 9.845

HT

Hypertension

Yes or no

Yes: 315 (40.8 %)

No: 457 (59.2 %)

AC sugar

AC Blood Sugar (mg/dl)

69–292

μ = 98.21; σ = 17.885

TG

Triglyceride (mg/dl)

31–676

μ = 133.44; σ = 71.750

HDL

High-density lipoprotein (mg/dl)

24–96

μ = 45.65; σ = 9.957

Wrist

Wrist (cm)

66.3–114.5

μ = 87.962; σ = 7.5566

HBA1c

Glycohemoglobin (%)

4.4–10.4

μ = 5.691; σ = 0.6133

BMI

Body mass index (mmHg)

16.7–36.7

μ = 24.807; σ = 2.8593

Total cholesterol

Total cholesterol (mg/dL)

95–440

μ = 203.18; σ = 34.138

PC sugar

PC blood sugar (mg/dl)

51–408

μ = 127.08; σ = 48.775

LOH

 

Y/N

Y: 205 (26.6 %)

N: 567 (73.4 %)