Mateus Vinícius Santos de Azevedo

No ORCID on file · 1 paper in corpus · active 2024

Study types

  • article 1

Condition tags

  • dysmenorrhea 1
  • endometriosis 1
  • irritable_bowel_syndrome 1
article 2024
Machine learning as a clinical decision support tool for diagnosing superficial peritoneal endometriosis in women with dysmenorrhea and acyclic pelvic pain
·doi:10.18103/mra.v12i12.6204

Background: Superficial peritoneal endometriosis, despite being the most common type of lesion, presents the greatest challenge for non-invasive diagnosis, resulting in the majority being recognised surgically. Objective: To evaluate the pe…