{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T10:11:12Z","timestamp":1773137472132,"version":"3.50.1"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["T2293774"],"award-info":[{"award-number":["T2293774"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Intelligent Approach to Security and Governance of National and Social Data"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12271131"],"award-info":[{"award-number":["12271131"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62466014"],"award-info":[{"award-number":["62466014"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Research on the Decision Behavior and Collaborative Management of Human-Machine System","award":["72231010"],"award-info":[{"award-number":["72231010"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1109\/jbhi.2025.3599891","type":"journal-article","created":{"date-parts":[[2025,8,19]],"date-time":"2025-08-19T18:16:47Z","timestamp":1755627407000},"page":"2153-2166","source":"Crossref","is-referenced-by-count":0,"title":["Recursive Statistical Invariants Elimination for High-Risk Disease Diagnosis With Feature Selection"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-6836-4254","authenticated-orcid":false,"given":"Yi-Fan","family":"Qi","sequence":"first","affiliation":[{"name":"International Business School, Hainan University, Haikou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1628-6133","authenticated-orcid":false,"given":"Yuan-Hai","family":"Shao","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Hainan University, Haikou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7033-0089","authenticated-orcid":false,"given":"Chun-Na","family":"Li","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Hainan University, Haikou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9289-9110","authenticated-orcid":false,"given":"Zhi-Quan","family":"Qi","sequence":"additional","affiliation":[{"name":"School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2013.11.024"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130401"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref4","first-page":"82","article-title":"Feature selection via concave minimization and support vector machines","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"98","author":"Bradley","year":"1998"},{"key":"ref5","first-page":"480","article-title":"Feature selection in SVM text categorization","volume-title":"Proc. AAAI\/IAAI","author":"Taira","year":"1999"},{"key":"ref6","first-page":"668","article-title":"Feature selection for SVMs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"12","author":"Weston","year":"2000"},{"key":"ref7","first-page":"1439","article-title":"Use of the zero-norm with linear models and kernel methods","volume":"3","author":"Weston","year":"2003","journal-title":"J. Mach. Learn. Res."},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2016.2519914"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2020.12.009"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1177\/0165551521991037"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-023-08763-y"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1111\/coin.12599"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-023-15459-x"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/encyclopedia3020042"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pdig.0000290"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-023-02841-y"},{"key":"ref17","first-page":"601","article-title":"Feature selection for high-dimensional genomic microarray data","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"1","author":"Xing","year":"2001"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.082099299"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012487302797"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNB.2005.853657"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-006-0043-5"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.09.002"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0086703"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/prot.26236"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1177\/0165551519860982"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jproteome.1c00763"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(22)00633-7"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3021387"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-021-01203-6"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3389\/fmicb.2021.634511"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2019.103375"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.04.083"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-018-5742-0"},{"key":"ref34","first-page":"4","article-title":"Complete statistical theory of learning: Learning using statistical invariants","volume-title":"Proc. Conformal Probabilistic Prediction Appl.","author":"Vapnik","year":"2020"},{"key":"ref35","first-page":"598","article-title":"Optimal brain damage","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"2","author":"LeCun","year":"1989"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3269504"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2022.11.167"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0069"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0080"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247911"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.368"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.183"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1023\/A:1018628609742"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-36383-6"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-43958-w"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0b013e31829b5b44"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1097\/HS9.0000000000000732"},{"issue":"6","key":"ref48","first-page":"1153","article-title":"Urinalysis: A comprehensive review","volume":"71","author":"Simerville","year":"2005","journal-title":"Am Fam. Physician"},{"issue":"4","key":"ref49","first-page":"279","article-title":"Kidney disease: Improving global outcomes (KDIGO) Anemia work group. KDIGO clinical practice guideline for anemia in chronic kidney disease","volume":"2","author":"McMurray","year":"2012","journal-title":"Kidney Int. Suppl."},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.kint.2020.11.003"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1053\/j.ajkd.2020.05.006"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1002\/cncr.28695"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2021.1117"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.18632\/oncotarget.20351"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.6004\/jnccn.2015.0122"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1023\/A:1023982402137"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.4143\/crt.2017.094"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2018.03.024"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221020\/11424173\/11129651.pdf?arnumber=11129651","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T19:59:19Z","timestamp":1773086359000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11129651\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":58,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2025.3599891","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3]]}}}