Clarisse da Costa Rufino

No ORCID on file · 1 paper in corpus · active 2026

Study types

  • article 1
article 2026
Machine learning models for non-invasive endometriosis triage using a laparoscopically and histologically verified cohort
European journal of obstetrics, gynecology, and reproductive biology ·doi:10.1016/j.ejogrb.2026.115237

OBJECTIVE: To develop and internally validate machine-learning models for non-invasive triage of women at risk for endometriosis using structured clinical variables in a laparoscopically and histologically verified cohort. STUDY DESIGN: Th…