FEMaLe: The use of machine learning for early diagnosis of endometriosis based on patient self-reported data—Study protocol of a multicenter trial

• Dora B. Balogh,

  Roles Conceptualization, Investigation, Writing – original draft

  Affiliation Department of Obstetrics and Gynecology, Semmelweis University, Budapest, Hungary

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• Gernot Hudelist,

  Roles Writing – review & editing

  Affiliations Department of Gynecology, Center for Endometriosis, Hospital St. John of God, Vienna, Austria, Rudolfinerhaus Private Clinic and Campus, Vienna, Austria

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• Dmitrijs Bļizņuks,

  Roles Methodology, Software, Writing – original draft

  Affiliation Department of Computer Control and Computer Networks, Riga Technical University, Riga, Latvia

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• Jayanth Raghothama,

  Roles Writing – review & editing

  Affiliation Department of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Stockholm, Sweden

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• Christian M. Becker,

  Roles Writing – review & editing

  Affiliation Oxford Endometriosis CaRe Centre, Nuffield Department of Women’s and Reproductive Health, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom

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• Roman Horace,

  Roles Writing – review & editing

  Affiliation Franco-European Multidisciplinary Endometriosis Institute (IFEMEndo), Clinique Tivoli-Ducos, Bordeaux, France

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• Harald Krentel,

  Roles Writing – review & editing

  Affiliation Department of Obstetrics, Gynecology, Gynecologic Oncology and Senology, Bethesda Hospital Duisburg, Duisburg, Germany

  https://orcid.org/0000-0002-1238-9207

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• Andrew W. Horne,

  Roles Writing – review & editing

  Affiliation Centre for Reproductive Health, University of Edinburgh, Institute of Inflammation and Repair, Edinburgh, United Kingdom

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• Nicolas Bourdel,

  Roles Writing – review & editing

  Affiliation Department of Surgical Gynecology, University of Clermont Auvergne, Clermont-Ferrand, France

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• Gabriella Marki,

  Roles Conceptualization, Writing – review & editing

  Affiliation MedEnd Institute, Budapest, Hungary

  https://orcid.org/0000-0003-2797-3526

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• Carla Tomassetti,

  Roles Writing – review & editing

  Affiliation Leuven University Endometriosis Center of Expertise, Leuven University Fertility Center, Department of Obstetrics and Gynecology, UZ Gasthuisberg, Leuven, Belgium

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• Ulrik Bak Kirk,

  Roles Writing – review & editing

  Affiliations Department of Public Health, Aarhus University, Aarhus, Denmark, Research Unit for General Practice, Aarhus, Denmark

  https://orcid.org/0000-0003-1683-2189

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• Nandor Acs,

  Roles Writing – review & editing

  Affiliation Department of Obstetrics and Gynecology, Semmelweis University, Budapest, Hungary

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• Attila Bokor

  Roles Conceptualization, Funding acquisition, Investigation, Methodology, Resources, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: attila.z.bokor@gmail.com

  Affiliation Department of Obstetrics and Gynecology, Semmelweis University, Budapest, Hungary

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