{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T22:29:19Z","timestamp":1777328959866,"version":"3.51.4"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Research Grants Council of the Hong Kong Special Administrative Region, China","award":["CUHK14204117"],"award-info":[{"award-number":["CUHK14204117"]}]},{"DOI":"10.13039\/501100003452","name":"Innovation and Technology Commission","doi-asserted-by":"publisher","award":["GHP-025-17SZ"],"award-info":[{"award-number":["GHP-025-17SZ"]}],"id":[{"id":"10.13039\/501100003452","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003452","name":"Innovation and Technology Commission","doi-asserted-by":"publisher","award":["GHP-028-14SZ"],"award-info":[{"award-number":["GHP-028-14SZ"]}],"id":[{"id":"10.13039\/501100003452","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Scheme Double First Class Program"},{"DOI":"10.13039\/100010002","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005045","name":"Ministry of Finance","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005045","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010453","name":"National Development and Reform Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010453","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2928975","type":"journal-article","created":{"date-parts":[[2019,7,15]],"date-time":"2019-07-15T19:49:14Z","timestamp":1563220154000},"page":"102010-102020","source":"Crossref","is-referenced-by-count":116,"title":["Comparison of Feature Selection Methods and Machine Learning Classifiers for Radiomics Analysis in Glioma Grading"],"prefix":"10.1109","volume":"7","author":[{"given":"Pan","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Defeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vincent Ct","family":"Mok","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2318-4669","authenticated-orcid":false,"given":"Lin","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2009.07.008"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"271","DOI":"10.3233\/FI-2010-288","article-title":"Boruta—A system for feature selection","volume":"101","author":"kursa","year":"2010","journal-title":"Fundam Inf"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2377694"},{"key":"ref32","article-title":"Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features","volume":"4","author":"bakas","year":"2017","journal-title":"Data Science Journal"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-13448-3"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12967"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2013.11.024"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/198363"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1158\/0008-5472.CAN-17-0339"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2014.08.008"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1038\/srep13087"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.canlet.2017.06.004"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18632\/oncotarget.18001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s00401-016-1545-1"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(11)61346-9"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/2512037"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2018.12.016"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.5982"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.26265"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.12659\/MSM.901270"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-018-5730-6"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.18.20218"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A5502"},{"key":"ref51","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/kxj037"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-10649-8"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017171315"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2017.10.013"},{"key":"ref40","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.26240"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2017.8037508"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.25835"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2018.36.15_suppl.e24173"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.26010"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-018-5704-8"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-018-0883-3"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2019.03.014"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-017-5108-1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1093\/neuonc\/nou087"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.26602"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11940-017-0445-6"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejca.2011.11.036"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms5006"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.18632\/oncotarget.5675"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A5391"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.05.007"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TRPMS.2018.2878934"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1259\/bjr.20160665"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1631\/jzus.B1700260"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref41","first-page":"223","article-title":"Machine Learning for bioelectromagnetics: Prediction model using data of weak radiofrequency radiation effect on plants","volume":"8","author":"halgamuge","year":"2017","journal-title":"Mach Learn"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017172258"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1038\/srep46349"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08763934.pdf?arnumber=8763934","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:32:59Z","timestamp":1641987179000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8763934\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2928975","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}