Skip to main content

Table 3 Scoring prognostic factors with the help of artificial neural networks

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

Risk factor

Normal sperm morphology

0.198023

Total sperm motility

0.164762

Progressive sperm motility

0.132263

Fallopian tubes condition

0.098004

Abortion history

0.05446

Previous unsuccessful IUI

0.048595

History of previous live birth

0.04088

Female age

0.03941

Type of infertility

0.036119

Male age

0.032112

BMI

0.031406

Etiology of infertility

0.028339

FSH

0.02782

Sperm count

0.025603

AMH

0.022267

Infertility duration

0.019938