{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T14:39:02Z","timestamp":1790087942953,"version":"4.0.1"},"reference-count":30,"publisher":"Elsevier BV","issue":"3","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/100014487","name":"Clovis Oncology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100014487","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100004334","name":"Merck","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004334","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007108","name":"George Washington University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007108","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","gynecologiconcology-online.net","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Gynecologic Oncology"],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1016\/j.ygyno.2020.09.047","type":"journal-article","created":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T16:35:56Z","timestamp":1601656556000},"page":"744-750","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":41,"title":["Using machine learning to create prognostic systems for endometrial cancer"],"prefix":"10.1016","volume":"159","author":[{"given":"Aaron M.","family":"Praiss","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongmei","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caryn M.","family":"St. Clair","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ana I.","family":"Tergas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Melamed","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fady","family":"Khoury-Collado","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"June Y.","family":"Hou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianhua","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chin","family":"Hur","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dawn L.","family":"Hershman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jason D.","family":"Wright","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ygyno.2020.09.047_bb0005","doi-asserted-by":"crossref","first-page":"2035","DOI":"10.1002\/1097-0142(19901015)60:8+<2035::AID-CNCR2820601515>3.0.CO;2-8","article-title":"Surgical pathologic spread patterns of endometrial cancer. A Gynecologic Oncology Group Study","volume":"60","author":"Creasman","year":"1987","journal-title":"Cancer"},{"key":"10.1016\/j.ygyno.2020.09.047_bb0010","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1097\/PGP.0b013e3181846c6d","article-title":"FIGO staging of endometrial adenocarcinoma: a critical review and proposal","volume":"28","author":"Zaino","year":"2009","journal-title":"Int. J. Gynecol. Pathol."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0015","doi-asserted-by":"crossref","first-page":"1620","DOI":"10.1097\/IGC.0b013e3182a5055e","article-title":"Redefining stage I endometrial cancer: incorporating histology, a binary grading system, myometrial invasion, and lymph node assessment","volume":"23","author":"Barlin","year":"2013","journal-title":"Int. J. Gynecol. Cancer"},{"key":"10.1016\/j.ygyno.2020.09.047_bb0020","first-page":"93","article-title":"The eighth edition AJCC cancer staging manual: continuing to build a bridge from a population-based to a more \u201cpersonalized\u201d approach to cancer staging","volume":"67","author":"Amin","year":"2017","journal-title":"CA Cancer J. Clin."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0025","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.ijgo.2009.02.010","article-title":"Revised FIGO staging for carcinoma of the endometrium","volume":"105","author":"Creasman","year":"2009","journal-title":"Int. J. Gynaecol. Obstet."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0030","first-page":"7","article-title":"Cancer statistics, 2019","volume":"69","author":"Siegel","year":"2019","journal-title":"CA Cancer J. Clin."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0035","doi-asserted-by":"crossref","first-page":"1404","DOI":"10.1016\/S0140-6736(00)02139-5","article-title":"Surgery and postoperative radiotherapy versus surgery alone for patients with stage-1 endometrial carcinoma: multicentre randomised trial. PORTEC Study Group. Post Operative Radiation Therapy in Endometrial Carcinoma","volume":"355","author":"Creutzberg","year":"2000","journal-title":"Lancet"},{"key":"10.1016\/j.ygyno.2020.09.047_bb0040","doi-asserted-by":"crossref","first-page":"744","DOI":"10.1016\/j.ygyno.2003.11.048","article-title":"A phase III trial of surgery with or without adjunctive external pelvic radiation therapy in intermediate risk endometrial adenocarcinoma: a Gynecologic Oncology Group study","volume":"92","author":"Keys","year":"2004","journal-title":"Gynecol. Oncol."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0045","doi-asserted-by":"crossref","first-page":"4239","DOI":"10.1245\/s10434-014-3864-6","article-title":"A risk scoring system to determine recurrence in early-stage type 1 endometrial cancer: a French multicentre study","volume":"21","author":"Bendifallah","year":"2014","journal-title":"Ann. Surg. Oncol."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0050","doi-asserted-by":"crossref","first-page":"4224","DOI":"10.1245\/s10434-015-4548-6","article-title":"A predictive model using Histopathologic characteristics of early-stage type 1 endometrial cancer to identify patients at high risk for lymph node metastasis","volume":"22","author":"Bendifallah","year":"2015","journal-title":"Ann. Surg. Oncol."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0055","doi-asserted-by":"crossref","first-page":"288","DOI":"10.3389\/fendo.2019.00288","article-title":"Creating prognostic systems for well-differentiated thyroid cancer using machine learning","volume":"10","author":"Yang","year":"2019","journal-title":"Front. Endocrinol."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0060","doi-asserted-by":"crossref","first-page":"3611","DOI":"10.1002\/cam4.1629","article-title":"Creating prognostic systems for cancer patients: a demonstration using breast cancer","volume":"7","author":"Hueman","year":"2018","journal-title":"Cancer Med."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0065","author":"Surveillance, Epidemiology, and End Results Program"},{"key":"10.1016\/j.ygyno.2020.09.047_bb0070","series-title":"Clustering Big Cancer Data by Effect Sizes. Proceedings - 2017 IEEE 2nd International Conference on Connected Health; 2017 Aug 14, 2017","first-page":"58","author":"CD","year":"2017"},{"key":"10.1016\/j.ygyno.2020.09.047_bb0075","series-title":"Finding Groups in Data: An Introduction to Cluster Analysis","author":"Kaufman","year":"1990"},{"key":"10.1016\/j.ygyno.2020.09.047_bb0080","article-title":"Developing prognostic systems of cancer patients by ensemble clustering","volume":"2009","author":"Chen","year":"2009","journal-title":"J. Biomed. Biotechnol."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0085","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1002\/sim.6370","article-title":"Comparing two correlated C indices with right-censored survival outcome: a one-shot nonparametric approach","volume":"34","author":"Kang","year":"2015","journal-title":"Stat. Med."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0090","doi-asserted-by":"crossref","first-page":"2722","DOI":"10.1245\/s10434-014-4311-4","article-title":"French multicenter study evaluating the risk of lymph node metastases in early-stage endometrial cancer: contribution of a risk scoring system","volume":"22","author":"Bendifallah","year":"2015","journal-title":"Ann. Surg. Oncol."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0095","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1038\/bjc.2015.35","article-title":"Just how accurate are the major risk stratification systems for early-stage endometrial cancer?","volume":"112","author":"Bendifallah","year":"2015","journal-title":"Br. J. Cancer"},{"issue":"56","key":"10.1016\/j.ygyno.2020.09.047_bb0100","first-page":"e1","article-title":"External validation of nomograms designed to predict lymphatic dissemination in patients with early-stage endometrioid endometrial cancer: a multicenter study","volume":"212","author":"Bendifallah","year":"2015","journal-title":"Am. J. Obstet. Gynecol."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0105","doi-asserted-by":"crossref","first-page":"2640","DOI":"10.1038\/bjc.2014.237","article-title":"A clue towards improving the European Society of Medical Oncology risk group classification in apparent early stage endometrial cancer? Impact of lymphovascular space invasion","volume":"110","author":"Bendifallah","year":"2014","journal-title":"Br. J. Cancer"},{"key":"10.1016\/j.ygyno.2020.09.047_bb0110","doi-asserted-by":"crossref","DOI":"10.1136\/esmoopen-2019-000518","article-title":"Expanding the TNM for cancers of the colon and rectum using machine learning: a demonstration","volume":"4","author":"Hueman","year":"2019","journal-title":"ESMO Open"},{"key":"10.1016\/j.ygyno.2020.09.047_bb0115","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2020.5842","article-title":"Development and validation of a deep learning model for non-small cell lung cancer survival","volume":"3","author":"She","year":"2020","journal-title":"JAMA Netw. Open"},{"key":"10.1016\/j.ygyno.2020.09.047_bb0120","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1097\/GCO.0000000000000508","article-title":"Molecular characterization of endometrial cancer and therapeutic implications","volume":"31","author":"Chang","year":"2019","journal-title":"Curr. Opin. Obstet. Gynecol."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0125","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1097\/GCO.0000000000000342","article-title":"Molecular characterization of endometrial cancer and therapeutic implications","volume":"29","author":"Uppendahl","year":"2017","journal-title":"Curr. Opin. Obstet. Gynecol."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0130","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1097\/GCO.0000000000000602","article-title":"Molecular characterization of endometrial cancer and therapeutic implications","volume":"32","author":"Winterhoff","year":"2020","journal-title":"Curr. Opin. Obstet. Gynecol."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0135","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.ygyno.2019.10.028","article-title":"Clinical outcomes of patients with POLE mutated endometrioid endometrial cancer","volume":"156","author":"Stasenko","year":"2020","journal-title":"Gynecol. Oncol."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0140","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1016\/j.ygyno.2016.01.002","article-title":"Magnitude of risk for nodal metastasis associated with lymphvascular space invasion for endometrial cancer","volume":"140","author":"Jorge","year":"2016","journal-title":"Gynecol. Oncol."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0145","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/j.ijgo.2007.11.004","article-title":"History of the FIGO cancer staging system","volume":"101","author":"Odicino","year":"2008","journal-title":"Int. J. Gynaecol. Obstet."},{"key":"10.1016\/j.ygyno.2020.09.047_bb0150","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1097\/IGC.0b013e31820cc305","article-title":"The revised 2009 FIGO staging system for endometrial cancer: should the 1988 FIGO stages IA and IB be altered?","volume":"21","author":"Abu-Rustum","year":"2011","journal-title":"Int. J. Gynecol. Cancer"}],"container-title":["Gynecologic Oncology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0090825820339573?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0090825820339573?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T03:54:08Z","timestamp":1758772448000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0090825820339573"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12]]},"references-count":30,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["S0090825820339573"],"URL":"https:\/\/doi.org\/10.1016\/j.ygyno.2020.09.047","relation":{},"ISSN":["0090-8258"],"issn-type":[{"value":"0090-8258","type":"print"}],"subject":[],"published":{"date-parts":[[2020,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Using machine learning to create prognostic systems for endometrial cancer","name":"articletitle","label":"Article Title"},{"value":"Gynecologic Oncology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ygyno.2020.09.047","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}