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Table 2 Study of probable predictive factors with the help of statistical analysis

From: Using artificial intelligence to predict the intrauterine insemination success rate among infertile couples

Risk factor

ROC (AUC)

Cut-off

Sensitivity

Specificity

Progressive sperm motility (%)

0.593

6.14

54.77

65.79

Total sperm motile count (%)

0.572

30.75

41.71

75.26

Previous Successful IUI treatment (yes/no)

0.538

_

_

_

Male age (year)

0.53

31

77.39

33.16

Infertility duration (year)

0.524

4.5

32.16

76.84

Total sperm count (106)

0.522

49.5

55.28

52.63

Patency of fallopian tubes (one/both)

0.52

_

_

_

Normal sperm morphology (%)

0.517

0.675

12.56

95.26

Female age (year)

0.516

27

77.89

27.37

Type of fertility (primary or secondary)

0.515

_

_

_

AMH (ng/ml)

0.515

2

32.66

75.26

Previous successful ongoing pregnancy (number of successful ongoing pregnancy)

0.505

1

26.6

76.3

Abortion history (yes/no)

0.5

_

_

_

BMI (kg/m2)

0.5

24.45

34.67

55.26

FSH (IU/mL)

0.5

5.45

51.76

53.16