{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T21:18:48Z","timestamp":1778620728640,"version":"3.51.4"},"reference-count":60,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2021,5,22]],"date-time":"2021-05-22T00:00:00Z","timestamp":1621641600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100011033","name":"Agencia Estatal de Investigaci\u00f3n","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011033","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003330","name":"Secretar\u00eda de Estado de Investigaci\u00f3n Desarrollo e Innovaci\u00f3n","doi-asserted-by":"publisher","award":["DPI2017-88438-R"],"award-info":[{"award-number":["DPI2017-88438-R"]}],"id":[{"id":"10.13039\/501100003330","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004587","name":"Instituto de Salud Carlos III","doi-asserted-by":"publisher","award":["PI17\/01726"],"award-info":[{"award-number":["PI17\/01726"]}],"id":[{"id":"10.13039\/501100004587","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004587","name":"Instituto de Salud Carlos III","doi-asserted-by":"publisher","award":["RD16\/0008\/020"],"award-info":[{"award-number":["RD16\/0008\/020"]}],"id":[{"id":"10.13039\/501100004587","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004587","name":"Instituto de Salud Carlos III","doi-asserted-by":"publisher","award":["RD16\/0008\/029"],"award-info":[{"award-number":["RD16\/0008\/029"]}],"id":[{"id":"10.13039\/501100004587","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Fusion"],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1016\/j.inffus.2021.05.006","type":"journal-article","created":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T12:35:45Z","timestamp":1621946145000},"page":"157-167","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":15,"special_numbering":"C","title":["Diagnosis of multiple sclerosis using multifocal ERG data feature fusion"],"prefix":"10.1016","volume":"76","author":[{"given":"A.","family":"L\u00f3pez-Dorado","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J.","family":"P\u00e9rez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.J.","family":"Rodrigo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J.M.","family":"Miguel-Jim\u00e9nez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Ortiz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L.","family":"de Santiago","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"E.","family":"L\u00f3pez-Guill\u00e9n","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Blanco","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C.","family":"Cavalliere","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"E. M\u00aa S\u00e1nchez","family":"Morla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L.","family":"Boquete","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"E.","family":"Garcia-Martin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.inffus.2021.05.006_bib0001","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1038\/nri3871","article-title":"Immunopathology of multiple sclerosis","volume":"15","author":"Dendrou","year":"2015","journal-title":"Nat. Rev. Immunol."},{"key":"10.1016\/j.inffus.2021.05.006_bib0002","doi-asserted-by":"crossref","DOI":"10.1002\/brb3.362","article-title":"An update on immunopathogenesis, diagnosis, and treatment of multiple sclerosis","volume":"5","author":"Garg","year":"2015","journal-title":"Brain Behav"},{"key":"10.1016\/j.inffus.2021.05.006_bib0003","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1097\/WCO.0000000000000206","article-title":"Classification, diagnosis, and differential diagnosis of multiple sclerosis","volume":"28","author":"Sand","year":"2015","journal-title":"Curr. Opin. Neurol."},{"key":"10.1016\/j.inffus.2021.05.006_bib0004","series-title":"Multiple Sclerosis International Federation, Atlas of Multiple Sclerosis","year":"2013"},{"key":"10.1016\/j.inffus.2021.05.006_bib0005","doi-asserted-by":"crossref","first-page":"1233","DOI":"10.1177\/1352458516675039","article-title":"Importance of early treatment initiation in the clinical course of multiple sclerosis","volume":"23","author":"Kavaliunas","year":"2017","journal-title":"Mult. Scler."},{"key":"10.1016\/j.inffus.2021.05.006_bib0006","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1038\/nrneurol.2017.106","article-title":"The tension between early diagnosis and misdiagnosis of multiple sclerosis","volume":"13","author":"Solomon","year":"2017","journal-title":"Nat. Rev. Neurol."},{"key":"10.1016\/j.inffus.2021.05.006_bib0007","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1111\/nyas.13846","article-title":"Precision medicine for multiple sclerosis promotes preventative medicine","volume":"1420","author":"Hansen","year":"2018","journal-title":"Ann. N. Y. Acad. Sci."},{"key":"10.1016\/j.inffus.2021.05.006_bib0008","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1002\/ana.1032","article-title":"Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis","volume":"50","author":"McDonald","year":"2001","journal-title":"Ann. Neurol."},{"key":"10.1016\/j.inffus.2021.05.006_bib0009","doi-asserted-by":"crossref","first-page":"840","DOI":"10.1002\/ana.20703","article-title":"Diagnostic criteria for multiple sclerosis: 2005 revisions to the \u201cMcDonald Criteria","volume":"58","author":"Polman","year":"2005","journal-title":"Ann. Neurol."},{"key":"10.1016\/j.inffus.2021.05.006_bib0010","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1002\/ana.22366","article-title":"Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria","volume":"69","author":"Polman","year":"2011","journal-title":"Ann. Neurol."},{"key":"10.1016\/j.inffus.2021.05.006_bib0011","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/S1474-4422(17)30470-2","article-title":"Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria","volume":"17","author":"Thompson","year":"2018","journal-title":"Lancet Neurol"},{"key":"10.1016\/j.inffus.2021.05.006_bib0012","doi-asserted-by":"crossref","first-page":"1309","DOI":"10.1177\/1352458517707265","article-title":"A new role for evoked potentials in MS? Repurposing evoked potentials as biomarkers for clinical trials in MS","volume":"23","author":"Hardmeier","year":"2017","journal-title":"Mult. Scler. J."},{"key":"10.1016\/j.inffus.2021.05.006_bib0013","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.cnp.2019.03.002","article-title":"The electrophysiological assessment of visual function in Multiple Sclerosis","volume":"4","author":"Barton","year":"2019","journal-title":"Clin. Neurophysiol. Pract."},{"key":"10.1016\/j.inffus.2021.05.006_bib0014","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.pharmthera.2017.02.009","article-title":"Retinal biomarkers provide \u201cinsight\u201d into cortical pharmacology and disease","volume":"175","author":"Nguyen","year":"2017","journal-title":"Pharmacol. Ther."},{"key":"10.1016\/j.inffus.2021.05.006_bib0015","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1097\/WNP.0b013e31829d75f7","article-title":"Electropysiologic evaluation of the visual pathway in patients with multiple sclerosis","volume":"30","author":"Rodriguez-Mena","year":"2013","journal-title":"J. Clin. Neurophysiol."},{"key":"10.1016\/j.inffus.2021.05.006_bib0016","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.neucli.2009.12.001","article-title":"Correlation between functional and structural assessments of the optic nerve and retina in multiple sclerosis patients","volume":"40","author":"Almarcegui","year":"2010","journal-title":"Neurophysiol. Clin."},{"key":"10.1016\/j.inffus.2021.05.006_bib0017","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1167\/16.1.15","article-title":"M-sequences in ophthalmic electrophysiology","volume":"16","author":"M\u00fcller","year":"2016","journal-title":"J. Vis."},{"key":"10.1016\/j.inffus.2021.05.006_bib0018","first-page":"910","article-title":"Assessment of mfERG, spatial contrast sensitivity and visual field in patients with multiple sclerosis","volume":"48","author":"d. Moura","year":"2007","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.inffus.2021.05.006_bib0019","doi-asserted-by":"crossref","first-page":"5773","DOI":"10.1167\/iovs.07-0834","article-title":"Is optical coherence tomography really a new biomarker candidate in multiple sclerosis?\u2013A structural and functional evaluation","volume":"48","author":"Gundogan","year":"2007","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.inffus.2021.05.006_bib0020","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1093\/brain\/awq346","article-title":"Primary retinal pathology in multiple sclerosis as detected by optical coherence tomography","volume":"134","author":"Saidha","year":"2011","journal-title":"Brain"},{"key":"10.1016\/j.inffus.2021.05.006_bib0021","doi-asserted-by":"crossref","first-page":"879","DOI":"10.1134\/S0362119716080090","article-title":"Demyelinating optic neuritis: Optical coherence tomography and multifocal electroretinography data correlation","volume":"42","author":"Neroev","year":"2016","journal-title":"Hum. Physiol."},{"key":"10.1016\/j.inffus.2021.05.006_bib0022","first-page":"95","article-title":"Correlation between electrophysiological test and visual dysfunction in multiple sclerosis patients","author":"Vildades Palomar","year":"2017","journal-title":"Acta Ophthalmol."},{"key":"10.1016\/j.inffus.2021.05.006_bib0023","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1167\/iovs.17-22821","article-title":"Outer retinal dysfunction in the absence of structural abnormalities in multiple sclerosis","volume":"59","author":"Hanson","year":"2018","journal-title":"Investig. Opthalmol. Vis. Sci."},{"key":"10.1016\/j.inffus.2021.05.006_bib0024","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.eswa.2011.07.013","article-title":"Multifocal electroretinogram diagnosis of glaucoma applying neural networks and structural pattern analysis","volume":"39","author":"Boquete","year":"2012","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.inffus.2021.05.006_bib0025","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1007\/s11517-015-1287-6","article-title":"Continuous-wavelet-transform analysis of the multifocal ERG waveform in glaucoma diagnosis","volume":"53","author":"Miguel-Jim\u00e9nez","year":"2015","journal-title":"Med. Biol. Eng. Comput."},{"key":"10.1016\/j.inffus.2021.05.006_bib0026","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1016\/j.medengphy.2010.02.019","article-title":"Glaucoma detection by wavelet-based analysis of the global flash multifocal electroretinogram","volume":"32","author":"Miguel-Jim\u00e9nez","year":"2010","journal-title":"Med. Eng. Phys."},{"key":"10.1016\/j.inffus.2021.05.006_bib0027","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1007\/s10633-017-9593-y","article-title":"Wavelet decomposition analysis in the two-flash multifocal ERG in early glaucoma: a comparison to ganglion cell analysis and visual field","volume":"135","author":"Brandao","year":"2017","journal-title":"Doc. Ophthalmol."},{"key":"10.1016\/j.inffus.2021.05.006_bib0028","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1186\/1475-925X-10-37","article-title":"Multifocal ERG wavelet packet decomposition applied to glaucoma diagnosis","volume":"10","author":"Miguel-Jim\u00e9nez","year":"2011","journal-title":"Biomed. Eng. Online."},{"key":"10.1016\/j.inffus.2021.05.006_bib0029","doi-asserted-by":"crossref","first-page":"7","DOI":"10.3390\/s20010007","article-title":"Boquete, empirical mode decomposition-based filter applied to multifocal electroretinograms in multiple sclerosis diagnosis","volume":"20","author":"de Santiago","year":"2019","journal-title":"Sensors"},{"key":"10.1016\/j.inffus.2021.05.006_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2019.112821","article-title":"A systematic survey of computer-aided diagnosis in medicine: past and present developments","volume":"138","author":"Yanase","year":"2019","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.inffus.2021.05.006_bib0031","first-page":"1","volume":"124","author":"Hood","year":"2012"},{"key":"10.1016\/j.inffus.2021.05.006_bib0032","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1098\/rspa.1998.0193","article-title":"The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis","volume":"454","author":"Huang","year":"1998","journal-title":"Proc. R. Soc. A Math. Phys. Eng. Sci."},{"key":"10.1016\/j.inffus.2021.05.006_bib0033","series-title":"A Wavelet Tour of Signal Processing","author":"Mallat","year":"1999"},{"key":"10.1016\/j.inffus.2021.05.006_bib0034","series-title":"2015 4th Int. Conf. Electr. Eng","first-page":"1","article-title":"Features extraction and classification of ECG beats using CWT combined to RBF neural network optimized by cuckoo search via levy flight","author":"Harkat","year":"2015"},{"key":"10.1016\/j.inffus.2021.05.006_bib0035","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.compeleceng.2013.11.024","article-title":"A survey on feature selection methods","volume":"40","author":"Chandrashekar","year":"2014","journal-title":"Comput. Electr. Eng."},{"key":"10.1016\/j.inffus.2021.05.006_bib0036","doi-asserted-by":"crossref","first-page":"78533","DOI":"10.1109\/ACCESS.2019.2922987","article-title":"A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification","volume":"7","author":"Almugren","year":"2019","journal-title":"IEEE Access"},{"key":"10.1016\/j.inffus.2021.05.006_bib0037","doi-asserted-by":"crossref","DOI":"10.1016\/j.csda.2019.106839","article-title":"Benchmark for filter methods for feature selection in high-dimensional classification data","volume":"143","author":"Bommert","year":"2020","journal-title":"Comput. Stat. Data Anal."},{"key":"10.1016\/j.inffus.2021.05.006_bib0038","doi-asserted-by":"crossref","first-page":"3610","DOI":"10.1093\/bioinformatics\/btx438","article-title":"The value of prior knowledge in machine learning of complex network systems","volume":"33","author":"Ferranti","year":"2017","journal-title":"Bioinformatics"},{"key":"10.1016\/j.inffus.2021.05.006_bib0039","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1186\/s40537-019-0241-0","article-title":"Feature selection methods and genomic big data: a systematic review","volume":"6","author":"Tadist","year":"2019","journal-title":"J. Big Data."},{"key":"10.1016\/j.inffus.2021.05.006_bib0040","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.isprsjprs.2010.11.001","article-title":"Support vector machines in remote sensing: a review","volume":"66","author":"Mountrakis","year":"2011","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.inffus.2021.05.006_bib0041","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.isprsjprs.2010.11.001","article-title":"Support vector machines in remote sensing: a review","volume":"66","author":"Mountrakis","year":"2011","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.inffus.2021.05.006_bib0042","doi-asserted-by":"crossref","first-page":"988","DOI":"10.1109\/72.788640","article-title":"An overview of statistical learning theory","volume":"10","author":"Vapnik","year":"1999","journal-title":"IEEE Trans. Neural Networks."},{"key":"10.1016\/j.inffus.2021.05.006_bib0043","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1016\/0005-2795(75)90109-9","article-title":"Comparison of the predicted and observed secondary structure of T4 phage lysozyme","volume":"405","author":"Matthews","year":"1975","journal-title":"Biochim. Biophys. Acta - Protein Struct."},{"key":"10.1016\/j.inffus.2021.05.006_bib0044","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1186\/s13040-017-0155-3","article-title":"Ten quick tips for machine learning in computational biology","volume":"10","author":"Chicco","year":"2017","journal-title":"BioData Min."},{"key":"10.1016\/j.inffus.2021.05.006_bib0045","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0177678","article-title":"Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric","volume":"12","author":"Boughorbel","year":"2017","journal-title":"PLoS One"},{"key":"10.1016\/j.inffus.2021.05.006_bib0046","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.patcog.2019.02.023","article-title":"The impact of class imbalance in classification performance metrics based on the binary confusion matrix","volume":"91","author":"Luque","year":"2019","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.inffus.2021.05.006_bib0047","doi-asserted-by":"crossref","first-page":"1444","DOI":"10.1212\/WNL.33.11.1444","article-title":"Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS)","volume":"33","author":"Kurtzke","year":"1983","journal-title":"Neurology"},{"key":"10.1016\/j.inffus.2021.05.006_bib0048","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1007\/s10633-006-9022-0","article-title":"Electroretinographic abnormalities in multiple sclerosis: possible role for retinal autoantibodies","volume":"113","author":"Forooghian","year":"2006","journal-title":"Doc. Ophthalmol."},{"key":"10.1016\/j.inffus.2021.05.006_bib0049","doi-asserted-by":"crossref","first-page":"206","DOI":"10.3389\/fneur.2017.00206","article-title":"The Retina in Multiple System Atrophy: Systematic Review and Meta-Analysis","volume":"8","author":"Mendoza-Santiesteban","year":"2017","journal-title":"Front. Neurol."},{"key":"10.1016\/j.inffus.2021.05.006_bib0050","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.msard.2016.08.012","article-title":"Binocular low-contrast letter acuity and the symbol digit modalities test improve the ability of the Multiple Sclerosis Functional Composite to predict disease in pediatric multiple sclerosis","volume":"10","author":"Waldman","year":"2016","journal-title":"Mult. Scler. Relat. Disord."},{"key":"10.1016\/j.inffus.2021.05.006_bib0051","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0157293","article-title":"Relationship between visual dysfunction and retinal changes in patients with multiple sclerosis","volume":"11","author":"Satue","year":"2016","journal-title":"PLoS One"},{"key":"10.1016\/j.inffus.2021.05.006_bib0052","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1016\/S1474-4422(17)30278-8","article-title":"ERN-EYE IMSVISUAL, Retinal layer segmentation in multiple sclerosis: a systematic review and meta-analysis","volume":"16","author":"Petzold","year":"2017","journal-title":"Lancet. Neurol."},{"key":"10.1016\/j.inffus.2021.05.006_bib0053","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.msard.2018.02.010","article-title":"Predictors of retinal atrophy in multiple sclerosis: a longitudinal study using spectral domain optical coherence tomography with segmentation analysis","volume":"21","author":"Behbehani","year":"2018","journal-title":"Mult. Scler. Relat. Disord."},{"key":"10.1016\/j.inffus.2021.05.006_bib0054","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.cmpb.2018.11.006","article-title":"Computer Aided Diagnosis System for multiple sclerosis disease based on phase to amplitude coupling in covert visual attention","volume":"169","author":"Ahmadi","year":"2019","journal-title":"Comput. Methods Programs Biomed."},{"key":"10.1016\/j.inffus.2021.05.006_bib0055","doi-asserted-by":"crossref","DOI":"10.3390\/s19235323","article-title":"Computer-aided diagnosis of multiple sclerosis using a support vector machine and optical coherence tomography features","volume":"19","author":"Cavaliere","year":"2019","journal-title":"Sensors (Basel)"},{"key":"10.1016\/j.inffus.2021.05.006_bib0056","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1177\/1352458513493683","article-title":"Functional assessment of the visual pathway with multifocal visual evoked potentials, and their relationship with disability in patients with multiple sclerosis","volume":"20","author":"Blanco","year":"2014","journal-title":"Mult. Scler."},{"key":"10.1016\/j.inffus.2021.05.006_bib0057","doi-asserted-by":"crossref","first-page":"6127","DOI":"10.1167\/iovs.14-14807","article-title":"Evaluation of visual structural and functional factors that predict the development of multiple sclerosis in clinically isolated syndrome patients","volume":"55","author":"P\u00e9rez-Rico","year":"2014","journal-title":"Invest. Ophthalmol. Vis. Sci."},{"key":"10.1016\/j.inffus.2021.05.006_bib0058","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1142\/S1793536909000047","article-title":"Ensemble empirical mode decomposition: a noise-assisted data analysis method","volume":"01","author":"Wu","year":"2009","journal-title":"Adv. Adapt. Data Anal."},{"key":"10.1016\/j.inffus.2021.05.006_bib0059","series-title":"2011 IEEE Int. Conf. Acoust. Speech Signal Process.","first-page":"4144","article-title":"A complete ensemble empirical mode decomposition with adaptive noise","author":"Torres","year":"2011"},{"key":"10.1016\/j.inffus.2021.05.006_bib0060","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.bspc.2014.06.009","article-title":"Improved complete ensemble EMD: a suitable tool for biomedical signal processing","volume":"14","author":"Colominas","year":"2014","journal-title":"Biomed. Signal Process. Control."}],"container-title":["Information Fusion"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253521001068?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253521001068?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T20:43:03Z","timestamp":1778618583000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1566253521001068"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":60,"alternative-id":["S1566253521001068"],"URL":"https:\/\/doi.org\/10.1016\/j.inffus.2021.05.006","relation":{},"ISSN":["1566-2535"],"issn-type":[{"value":"1566-2535","type":"print"}],"subject":[],"published":{"date-parts":[[2021,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Diagnosis of multiple sclerosis using multifocal ERG data feature fusion","name":"articletitle","label":"Article Title"},{"value":"Information Fusion","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.inffus.2021.05.006","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}]}}