{"paper_id":"fdbfb081-cb7d-4d15-93e2-6245f240cc5f","body_text":"Demographic and Clinical Profiles of Patients with Endometriosis\nAuthors/Creators\nDescription\nBackground:\nEndometriosis affects 176 million women, with an average diagnostic delay of up to twelve years. We sought to evaluate differences between patients diagnosed with and without endometriosis, using electronic health record (EHR) data. Our goal was to use feature selection to determine the elements most predictive of endometriosis.\nPresented at: 16th World Congress on Endometriosis\nLocation: Sydney, Austrilia\nDates: May 21 to 24, 2025\nAuthors: Judith W. Dexheimer, PhD; Parand Shams, MS; Emily G. Hurley, MD; Katie Smith, WHNP; Rhonda Sczcesniak, PhD; Albert L. Hsu, MD\nAffiliations:\nDivision of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center\nDepartment of Pediatrics, College of Medicine, University of Cincinnati\nDepartment of Biostatistics, Health Informatics and Data Science, University of Cincinnati\nDivision of Reproductive Endocrinology and Infertility (REI), Department of Obstetrics and Gynecology, University of Cincinnati College of Medicine\nDivision of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center\nDivision of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center\nFiles\nAbstract_WECAus.pdf\nFiles\n(697.3 kB)\n| Name | Size | Download all |\n|---|---|---|\n|\nmd5:4ba15ae918c3857013f167ed4d03398b\n|\n697.3 kB | Preview Download |","source_license":"CC0","license_restricted":false}