FEMaLe: The use of machine learning for early diagnosis of endometriosis based on patient self-reported data

https://m2.mtmt.hu/ hun 2026-09-21 11:46 JournalArticle 34852421 VALIDATED true Export Date: 05 June 2025; Cited By: 3; Correspondence Address: A. Bokor; Department of Obstetrics and Gynecology, Semmelweis University, Budapest, Hungary; email: attila.z.bokor@gmail.com; CODEN: POLNC 0 false 2026-07-17T01:45:52.316+0000 2024-06-28T09:49:36.870+0000 2024-05-14T08:35:05.110+0000 true 10045296 Cseh Éva /api/admin/10045296 Admin Cseh Éva (SE_AOK_Adm5_1GyermekgyCsehÉva, admin) true 10045296 2026-05-04T13:10:27.371+0000 2026-05-04T13:10:27.371+0000 2024-06-10T10:04:19.726+0000 true 10015546 Berhidi Anna /api/admin/10015546 Admin Berhidi Anna (SE_KK_Admin5_BA, admin) true 10015546 true false true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType Szakcikk (Folyóiratcikk) 101 true 10000059 true 1 /api/category/1 Category Tudományos true 1 Balogh, Dora B. 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[Balogh, Dóra Bianka (Molekuláris bioló...), szerző] Szülészeti és Nőgyógyászati Klinika (SE / AOK / K) 1 0.071 true false false Author 10052792 /api/author/10052792 Balogh Dóra Bianka (Molekuláris biológia, Szülészet-nőgyógyászat) Balogh Dóra Bianka true 10052792 true Balogh Dora B. true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 116587415 /api/authorship/116587415 Hudelist, Gernot 2 0.071428575 false false false Hudelist Gernot true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 116587416 /api/authorship/116587416 Bļizņuks, Dmitrijs 3 0.071428575 false false false Bļizņuks Dmitrijs true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PersonAuthorship 116587417 /api/authorship/116587417 Raghothama, Jayanth 4 0.071428575 false false false Raghothama Jayanth true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true 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SD Mathias 1996: Chronic pelvic pain: prevalence, health-related quality of life, and economic correlates., Obstet Gynecol, 87, p. 321, DOI: 10.1016/0029-7844(95)00458-0 3 10.1016/0029-7844(95)00458-0 false true Reference 52918876 /api/reference/52918876 4. F Facchin 2015: Impact of endometriosis on quality of life and mental health: pelvic pain makes the difference., J Psychosom Obstet Gynaecol, 36, p. 135, DOI: 10.3109/0167482X.2015.1074173 4 10.3109/0167482X.2015.1074173 false true Reference 52918877 /api/reference/52918877 5. C Meuleman 2009: High prevalence of endometriosis in infertile women with normal ovulation and normospermic partners., Fertil Steril, 92, p. 68, DOI: 10.1016/j.fertnstert.2008.04.056 5 10.1016/j.fertnstert.2008.04.056 false true Reference 52918878 /api/reference/52918878 6. CM Becker 2022: ESHRE guideline: endometriosis., Hum Reprod Open, 2022, p. hoac009, DOI: 10.1093/hropen/hoac009 6 10.1093/hropen/hoac009 false true Reference 52918879 /api/reference/52918879 7. R Greene 2009: Diagnostic experience among 4,334 women reporting surgically diagnosed endometriosis., Fertil Steril, 91, p. 32, DOI: 10.1016/j.fertnstert.2007.11.020 7 10.1016/j.fertnstert.2007.11.020 false true Reference 52918880 /api/reference/52918880 8. G Hudelist 2012: Diagnostic delay for endometriosis in Austria and Germany: causes and possible consequences., Hum Reprod, 27, p. 3412, DOI: 10.1093/humrep/des316 8 10.1093/humrep/des316 false true Reference 52918881 /api/reference/52918881 9. LRH Illum 2022: Temporal and regional differences in the incidence of hospital-diagnosed endometriosis: a Danish population-based study., Acta Obstet Gynecol Scand, 101, p. 737, DOI: 10.1111/aogs.14364 9 10.1111/aogs.14364 false true Reference 52918882 /api/reference/52918882 10. K Edgley 2023: Symptom tracking in endometriosis using digital technologies: Knowns, unknowns, and future prospects., Cell Rep Med, 4, p. 101192, DOI: 10.1016/j.xcrm.2023.101192 10 10.1016/j.xcrm.2023.101192 false true Reference 52918883 /api/reference/52918883 11. I Urteaga 2020: Learning endometriosis phenotypes from patient-generated data., NPJ Digit Med, 3, p. 88, DOI: 10.1038/s41746-020-0292-9 11 10.1038/s41746-020-0292-9 false true Reference 52918884 /api/reference/52918884 12. S Bendifallah 2022: Machine learning algorithms as new screening approach for patients with endometriosis., Sci Rep, 12, p. 639, DOI: 10.1038/s41598-021-04637-2 12 10.1038/s41598-021-04637-2 false true Reference 52918885 /api/reference/52918885 13. A Nap 2022: Endometriosis and the effects of dietary interventions: what are we looking for?., Reprod Fertil, 3, p. C14, DOI: 10.1530/RAF-21-0110 13 10.1530/RAF-21-0110 false true Reference 52918886 /api/reference/52918886 14. S Simoens 2012: The burden of endometriosis: costs and quality of life of women with endometriosis and treated in referral centres., Hum Reprod, 27, p. 1292, DOI: 10.1093/humrep/des073 14 10.1093/humrep/des073 false true Reference 52918887 /api/reference/52918887 15. A Bokor 2013: The impact of endometriosis on the quality of life in Hungary., Orv Hetil, 154, p. 1426, DOI: 10.1556/OH.2013.29699 15 10.1556/OH.2013.29699 false true Reference 52918888 /api/reference/52918888 16. J Keckstein 2021: The #Enzian classification: A comprehensive non-invasive and surgical description system for endometriosis., Acta Obstet Gynecol Scand, 100, p. 1165, DOI: 10.1111/aogs.14099 16 10.1111/aogs.14099 false true Reference 52918889 /api/reference/52918889 17. 1997: Revised American Society for Reproductive Medicine classification of endometriosis: 1996., Fertil Steril, 67, p. 817, DOI: 10.1016/S0015-0282(97)81391-X 17 10.1016/S0015-0282(97)81391-X false true Reference 52918890 /api/reference/52918890 18. G Jones 2004: Development of the Short Form Endometriosis Health Profile Questionnaire: the EHP-5., Qual Life Res, 13, p. 695, DOI: 10.1023/B:QURE.0000021321.48041.0e 18 10.1023/B:QURE.0000021321.48041.0e false true Reference 52918891 /api/reference/52918891 19. N Bourdel 2015: Systematic review of endometriosis pain assessment: how to choose a scale?., Hum Reprod Update, 21, p. 136, DOI: 10.1093/humupd/dmu046 19 10.1093/humupd/dmu046 false true Reference 52918892 /api/reference/52918892 20. T Nishigami 2018: Development and psychometric properties of short form of central sensitization inventory in participants with musculoskeletal pain: A cross-sectional study., PLoS One, 13, p. e0200152, DOI: 10.1371/journal.pone.0200152 20 10.1371/journal.pone.0200152 false true /api/publication/34852421 Balogh Dora B. et al. FEMaLe: The use of machine learning for early diagnosis of endometriosis based on patient self-reported data—Study protocol of a multicenter trial. (2024) PLOS ONE 1932-6203 19 5<div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10052792"><a href="/gui2/?type=authors&mode=browse&sel=10052792" target="_blank">Balogh Dora B. (<span class="authorship-author-name">Balogh Dóra Bianka</span> <span class="authorAux-mtmt"> Molekuláris biológia, Szülészet-nőgyógyászat</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Klinikum">K</span>/Szülészeti és Nőgyógyászati Klinika</span> ;    <span class="author-name" >Hudelist Gernot </span> ;    <span class="author-name" >Bļizņuks Dmitrijs </span> ;    <span class="author-name" >Raghothama Jayanth </span> ;    <span class="author-name" >Becker Christian M. </span> ;    <span class="author-name" >Horace Roman </span> ;    <span class="author-name" >Krentel Harald </span> ;    <span class="author-name" >Horne Andrew W. </span> ;    <span class="author-name" >Bourdel Nicolas </span> ;    <span class="author-name" >Marki Gabriella </span> ;    <span class="author-name" >Tomassetti Carla </span> ;    <span class="author-name" >Kirk Ulrik Bak </span> ;    <span class="author-name" mtid="10013998"><a href="/gui2/?type=authors&mode=browse&sel=10013998" target="_blank">Acs Nandor (<span class="authorship-author-name">Ács Nándor</span> <span class="authorAux-mtmt"> Szülészet-nőgyógyászat</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Klinikum">K</span>/Szülészeti és Nőgyógyászati Klinika</span> ;    <span class="author-name" mtid="10026013"><a href="/gui2/?type=authors&mode=browse&sel=10026013" target="_blank">Bokor Attila ✉ (<span class="authorship-author-name">Bokor Attila</span> <span class="authorAux-mtmt"> szülészet, nőgyógyászat</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Klinikum">K</span>/Szülészeti és Nőgyógyászati Klinika</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;34852421" target="_blank">FEMaLe: The use of machine learning for early diagnosis of endometriosis based on patient self-reported data—Study protocol of a multicenter trial</a></div> <div> <span class="journal-title">PLOS ONE</span> <span class="journal-issn">( <a target="_blank" href="https://portal.issn.org/resource/ISSN/1932-6203">1932-6203</a>)</span>: <span class="journal-volume">19</span> <span class="journal-issue">5</span> <span class="page"> Paper e0300186. 9 p. </span> <span class="year">(2024)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_GOLD" title=" Gold "> <a style="color:blue" title="10.1371/journal.pone.0300186" target="_blank" href="https://doi.org/10.1371/journal.pone.0300186"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="001245183200146" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001245183200146"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85192810385" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85192810385"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="38722932" target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=38722932&dopt=Abstract"> PubMed </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Multidisciplinary   SJR indikátor: Q1</div> <div class="journal-subject">Pedagógiai Tudományos Bizottság II. FTO PedTB [1901-]   A</div> <div class="journal-subject">Szociológiai Tudományos Bizottság IXGJO SZTB [1901-]   A nemzetközi</div> <div class="journal-subject">Regionális Tudományok Bizottsága IXGJO RTB [1901-]   B nemzetközi</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 16</span> | Független: 15 | Függő: 1 | Nem jelölt: 0 | WoS jelölt: 8 | Scopus jelölt: 13 | WoS/Scopus jelölt: 13 | DOI jelölt: 16 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;34852421&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 5 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 34852421</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="funder"> Finding Endometriosis using Machine Learning (FEMaLe) - European Union’s Horizon 2020(101017562) Támogató: EU </div> <div class="lastModified">Utolsó módosítás: 2024.06.28. 11:49 Szalóky-Siki Ágnes (SE_KK_Admin5_SZSA, admin) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: Export Date: 05 June 2025; Cited By: 3; Correspondence Address: A. Bokor; Department of Obstetrics and Gynecology, Semmelweis University, Budapest, Hungary; email: attila.z.bokor@gmail.com; CODEN: POLNC</pre> </div></div>