{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T05:07:33Z","timestamp":1775020053287,"version":"3.50.1"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T00:00:00Z","timestamp":1657497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T00:00:00Z","timestamp":1657497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Union","doi-asserted-by":"publisher","award":["8\/8-3-2019"],"award-info":[{"award-number":["8\/8-3-2019"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,11]]},"DOI":"10.1109\/embc48229.2022.9871213","type":"proceedings-article","created":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T20:02:05Z","timestamp":1662667325000},"page":"1109-1112","source":"Crossref","is-referenced-by-count":14,"title":["Multiple Sclerosis Severity Estimation and Progression Prediction Based on Machine Learning Techniques"],"prefix":"10.1109","author":[{"given":"Daphni","family":"Plati","sequence":"first","affiliation":[{"name":"University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Dept. of Materials Science & Engineering,Ioannina,Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Evanthia","family":"Tripoliti","sequence":"additional","affiliation":[{"name":"University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Dept. of Materials Science & Engineering,Ioannina,Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Styliani","family":"Zelilidou","sequence":"additional","affiliation":[{"name":"University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Dept. of Materials Science & Engineering,Ioannina,Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kostas","family":"Vlachos","sequence":"additional","affiliation":[{"name":"Ippokratio Ioanninon S. A.,Ioannina,Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Spyridon","family":"Konitsiotis","sequence":"additional","affiliation":[{"name":"Medical School, University of Ioannina,Dept. of Neurology,Ioannina,Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dimitrios I.","family":"Fotiadis","sequence":"additional","affiliation":[{"name":"Institute of Molecular Biology and Biotechnology, FORTH,Department of Biomedical Research,Ioannina,Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1002\/ana.24747","article-title":"Long-term evolution of multiple sclerosis disability in the treatment era","volume":"80","author":"cree","year":"2016","journal-title":"Annals of Neurology"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s00180-020-00999-9"},{"key":"ref31","author":"hall","year":"1998","journal-title":"Correlation-based feature selection for machine learning"},{"key":"ref30","author":"witten","year":"2011","journal-title":"Data Mining Practical Learning Tools and Techniques"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.17148\/IARJSET.2015.21201"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2012.2217326"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0174866"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-020-00338-8"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.autrev.2006.02.012"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1177\/2055217319885983"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.9781\/ijimai.2019.06.005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1212\/CON.0000000000000731"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/BIBE.2019.00058"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1177\/1352458517690823"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjmed.2020.05.049"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1309\/AJCPCYCH96QYPHJM"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp.2006.105759"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1720","DOI":"10.1212\/WNL.54.9.1720","article-title":"Practice parameter: the usefulness of evoked potentials in identifying clinically silent lesions in patients with suspected multiple sclerosis (an evidence-based review): Report of the Quality Standards Subcommittee of the American Academy of Neurology","volume":"54","author":"gronseth","year":"2000","journal-title":"Neurology"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000000560"},{"key":"ref29","author":"sammut","year":"2011","journal-title":"Encyclopedia of Machine Learning"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.46.4.907"},{"key":"ref8","article-title":"Classification of multiple sclerosis patients from the geometry and texture of white matter lesions","volume":"5","author":"taschler","year":"2014","journal-title":"7th Annu Meeting Organization Human Brain Mapping (OHBM)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.33.11.1444"},{"key":"ref2","first-page":"1","article-title":"Multiple Sclerosis: Pathogenesis, Symptoms, Diagnoses and Cell-Based Therapy","volume":"19","author":"ghasemi","year":"2017","journal-title":"J Cell"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2017.00398"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1111\/ene.13819"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM198301273080401"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/BF02260859"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.2466\/pms.1977.44.2.367"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1207\/s15327752jpa6703_13"},{"key":"ref23","first-page":"13","article-title":"Mapping of Multiple Sclerosis Walking Scale (MSWS-12) to five-dimension EuroQol (EQ-5D) health outcomes: an independent validation in a randomized control cohort","volume":"7","author":"sidovar","year":"2016","journal-title":"Patient Related Outcome Measures"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/124.5.962"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.msard.2020.102576"}],"event":{"name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","location":"Glasgow, Scotland, United Kingdom","start":{"date-parts":[[2022,7,11]]},"end":{"date-parts":[[2022,7,15]]}},"container-title":["2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9870821\/9870822\/09871213.pdf?arnumber=9871213","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T21:01:17Z","timestamp":1664226077000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9871213\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,11]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/embc48229.2022.9871213","relation":{},"subject":[],"published":{"date-parts":[[2022,7,11]]}}}