Yunus Aydın

ORCID: 0000-0001-6790-2058 · 3 papers in corpus
other 2025
A Novel Machine Learning Model for Predicting Natural Conception Using Non-Laboratory-Based Data
Reproductive sciences (Thousand Oaks, Calif.) ·doi:10.1007/s43032-025-01927-2

This study aimed to predict the likelihood of natural conception among couples by using a machine learning (ML) approach based on sociodemographic and sexual health data. This marks a novel, non-invasive methodology for fertility prediction…

article 2019
Does multifollicular development and number of intermediate follicles contribute to the effect of luteal phase support with vaginal progesterone gel in intrauterine insemination cycles?
·doi:10.1080/09513590.2019.1631277

Luteal phase deficiency as a result of multifollicular development which produces supraphysiological progesterone and estradiol levels and benefit of luteal phase support have been proven in assisted reproductive technique (ART) treatment. …

review 2013
The role of laparoscopy in the management of infertility
·doi:10.3109/01443615.2013.817981

The advancement of new perspectives in assisted reproductive technology (ART) through the use of modern infertility evaluation techniques has led clinicians to reassess how infertility should best be treated. The usefulness of laparoscopy i…