Tuğba Tahta

ORCID: 0000-0003-0190-977X · 1 paper in corpus · active 2025

Study types

  • other 1

Condition tags

  • endometriosis 1
other 2025
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…