{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T03:59:27Z","timestamp":1776916767712,"version":"3.51.2"},"reference-count":24,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004837","name":"Science and Innovation Ministry Grants meHeart-RisBi and Beyond","doi-asserted-by":"publisher","award":["PID2019-104356RB-C42"],"award-info":[{"award-number":["PID2019-104356RB-C42"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004837","name":"Science and Innovation Ministry Grants meHeart-RisBi and Beyond","doi-asserted-by":"publisher","award":["PID2019-106623RB-C41"],"award-info":[{"award-number":["PID2019-106623RB-C41"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004837","name":"FINALE Project","doi-asserted-by":"publisher","award":["TEC2016-75161-C2-1-R"],"award-info":[{"award-number":["TEC2016-75161-C2-1-R"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004837","name":"FINALE Project","doi-asserted-by":"publisher","award":["TEC2016-75161-C2-2-R"],"award-info":[{"award-number":["TEC2016-75161-C2-2-R"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004837","name":"KERMES Project","doi-asserted-by":"publisher","award":["TEC2016-81900-REDT"],"award-info":[{"award-number":["TEC2016-81900-REDT"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004837","name":"FEDER Fundings","doi-asserted-by":"publisher","award":["PID2019-106623RB-C41"],"award-info":[{"award-number":["PID2019-106623RB-C41"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3057770","type":"journal-article","created":{"date-parts":[[2021,2,9]],"date-time":"2021-02-09T07:23:42Z","timestamp":1612855422000},"page":"25959-25972","source":"Crossref","is-referenced-by-count":7,"title":["A Resampling Univariate Analysis Approach to Ovarian Cancer From Clinical and Genetic Data"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8845-2834","authenticated-orcid":false,"given":"Luis","family":"Bote-Curiel","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5003-1759","authenticated-orcid":false,"given":"Sergio","family":"Ruiz-Llorente","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1356-2646","authenticated-orcid":false,"given":"Sergio","family":"Munoz-Romero","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9438-5703","authenticated-orcid":false,"given":"Monica","family":"Yague-Fernandez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3701-0347","authenticated-orcid":false,"given":"Arantzazu","family":"Barquin","sequence":"additional","affiliation":[]},{"given":"Jesus","family":"Garcia-Donas","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0426-8912","authenticated-orcid":false,"given":"Jose Luis","family":"Rojo-Alvarez","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","author":"hastie","year":"2009","journal-title":"The Elements of Statistical Learning Data Mining Inference and Prediction"},{"key":"ref11","author":"greenacre","year":"2006","journal-title":"Correspondence Analysis and Related Methods"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-010-0001-0"},{"key":"ref13","first-page":"993","article-title":"Latent Dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2923533"},{"key":"ref15","first-page":"91","article-title":"Distribution-test estimation and topic modeling from big-data analytics from heterogeneous hospital records in ovarian cancer","author":"mu\u00e1oz-romero","year":"2019","journal-title":"Proc Spanish Biometric Conf VII Ibero-Amer Biometric Meeting"},{"key":"ref16","author":"ross","year":"2017","journal-title":"Introductory Statistics"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-4541-9"},{"key":"ref18","author":"kaplan","year":"1999","journal-title":"Resampling Stats in Matlab"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12050"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1089\/big.2013.1508"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.annonc.2020.05.019"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/app9112331"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-014-0007-7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2881797"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/app9204452"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.soncn.2019.02.001"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/annonc\/mdw142"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.tourman.2018.03.017"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1093\/annonc\/mdw079"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18632\/oncotarget.18189"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176350933"},{"key":"ref24","doi-asserted-by":"crossref","DOI":"10.1109\/ACCESS.2021.3072941","article-title":"Text analytics and mixed feature extraction in ovarian cancer clinical and genetic data","author":"bote-curiel","year":"2021","journal-title":"IEEE Access"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.4066\/biomedicalresearch.29-17-155"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09349363.pdf?arnumber=9349363","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:43Z","timestamp":1639771003000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9349363\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3057770","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}