{"id":"https://openalex.org/W2101089302","doi":"https://doi.org/10.4018/ijcmam.2014010103","title":"Algorithmic Analysis of Clinical and Neuropsychological Data in Localization-Related Epilepsy","display_name":"Algorithmic Analysis of Clinical and Neuropsychological Data in Localization-Related Epilepsy","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2101089302","doi":"https://doi.org/10.4018/ijcmam.2014010103","mag":"2101089302"},"language":"en","primary_location":{"id":"doi:10.4018/ijcmam.2014010103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijcmam.2014010103","pdf_url":null,"source":{"id":"https://openalex.org/S141528356","display_name":"International Journal of Computational Models and Algorithms in Medicine","issn_l":"1947-3133","issn":["1947-3133","1947-3141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Models and Algorithms in Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020705403","display_name":"Masoud Latifinavid","orcid":"https://orcid.org/0000-0002-6557-4414"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Masoud Latifi-Navid","raw_affiliation_strings":["Department of Mechanical Engineering, Middle East Technical University, Ankara, Turkey","Mathematics and Computation in Biological Sciences and MedicineMechanical Engineering Department, Middle East Technical University, 06800 Ankara-TURKEY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]},{"raw_affiliation_string":"Mathematics and Computation in Biological Sciences and MedicineMechanical Engineering Department, Middle East Technical University, 06800 Ankara-TURKEY","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037817287","display_name":"Kost Elisevich","orcid":"https://orcid.org/0000-0002-2695-7500"},"institutions":[{"id":"https://openalex.org/I146183641","display_name":"Spectrum Health","ror":"https://ror.org/02ahxdd04","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I146183641"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kost V. Elisevich","raw_affiliation_strings":["Department of Clinical Neurosciences, Spectrum Health System, Grand Rapids, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Clinical Neurosciences, Spectrum Health System, Grand Rapids, MI, USA","institution_ids":["https://openalex.org/I146183641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058761102","display_name":"Hamid Soltanian\u2010Zadeh","orcid":"https://orcid.org/0000-0002-7302-6856"},"institutions":[{"id":"https://openalex.org/I154057602","display_name":"Henry Ford Health","ror":"https://ror.org/02kwnkm68","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I154057602"]},{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]},{"id":"https://openalex.org/I4210146419","display_name":"Institute for Research in Fundamental Sciences","ror":"https://ror.org/04xreqs31","country_code":"IR","type":"facility","lineage":["https://openalex.org/I4210146419"]}],"countries":["IR","US"],"is_corresponding":false,"raw_author_name":"Hamid Soltanian-Zadeh","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Control and Intelligent Processing Center of Excellence, University of Tehran, Tehran, Iran & School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran & Departments of Research Administration and Radiology, Medical Image Analysis Lab, Henry Ford Health System, Detroit, MI, USA","Henry Ford Health System, Detroit, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Control and Intelligent Processing Center of Excellence, University of Tehran, Tehran, Iran & School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran & Departments of Research Administration and Radiology, Medical Image Analysis Lab, Henry Ford Health System, Detroit, MI, USA","institution_ids":["https://openalex.org/I154057602","https://openalex.org/I23946033","https://openalex.org/I4210146419"]},{"raw_affiliation_string":"Henry Ford Health System, Detroit, United States","institution_ids":["https://openalex.org/I154057602"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11724294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":"1","first_page":"33","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9649999737739563,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9649999737739563,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9631999731063843,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6613700985908508},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6297966241836548},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6058639287948608},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5598839521408081},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5312544703483582},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.527549684047699},{"id":"https://openalex.org/keywords/neuropsychology","display_name":"Neuropsychology","score":0.5157430768013},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.42155763506889343},{"id":"https://openalex.org/keywords/ictal","display_name":"Ictal","score":0.42058077454566956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38381609320640564},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.3321255147457123},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3069038391113281},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.07883861660957336}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6613700985908508},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6297966241836548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6058639287948608},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5598839521408081},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5312544703483582},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.527549684047699},{"id":"https://openalex.org/C14216870","wikidata":"https://www.wikidata.org/wiki/Q3872","display_name":"Neuropsychology","level":3,"score":0.5157430768013},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.42155763506889343},{"id":"https://openalex.org/C17755696","wikidata":"https://www.wikidata.org/wiki/Q16564780","display_name":"Ictal","level":3,"score":0.42058077454566956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38381609320640564},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3321255147457123},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3069038391113281},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.07883861660957336}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijcmam.2014010103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijcmam.2014010103","pdf_url":null,"source":{"id":"https://openalex.org/S141528356","display_name":"International Journal of Computational Models and Algorithms in Medicine","issn_l":"1947-3133","issn":["1947-3133","1947-3141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Models and Algorithms in Medicine","raw_type":"journal-article"},{"id":"mag:2101089302","is_oa":false,"landing_page_url":"http://icacm.iam.metu.edu.tr/ocs/index.php/icacm/2012/paper/view/151","pdf_url":null,"source":{"id":"https://openalex.org/S4306513699","display_name":"International Conference on Applied and Computational Mathematics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"International Conference on Applied and Computational Mathematics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W164479219","https://openalex.org/W1560107318","https://openalex.org/W1808644423","https://openalex.org/W1966100057","https://openalex.org/W1967325434","https://openalex.org/W1987149765","https://openalex.org/W1998320440","https://openalex.org/W2029343818","https://openalex.org/W2036000136","https://openalex.org/W2046906504","https://openalex.org/W2047756162","https://openalex.org/W2062905831","https://openalex.org/W2097916819","https://openalex.org/W2117345187","https://openalex.org/W2137385577","https://openalex.org/W2157538357","https://openalex.org/W2158294440","https://openalex.org/W4234536190"],"related_works":["https://openalex.org/W2982627395","https://openalex.org/W1997359198","https://openalex.org/W873697683","https://openalex.org/W3197860992","https://openalex.org/W143725982","https://openalex.org/W2734510146","https://openalex.org/W2806883049","https://openalex.org/W2057127352","https://openalex.org/W2793272055","https://openalex.org/W1494407342","https://openalex.org/W2034221426","https://openalex.org/W3003453994","https://openalex.org/W3188809671","https://openalex.org/W2072122428","https://openalex.org/W3188686187","https://openalex.org/W2165456953","https://openalex.org/W1969104449","https://openalex.org/W2791936143","https://openalex.org/W3162685972","https://openalex.org/W3151859720"],"abstract_inverted_index":{"The":[0,84,108,135,165,210],"current":[1,247],"study":[2,241],"examines":[3],"algorithmic":[4,237],"approaches":[5,105,130],"for":[6,28,132,175,214,252],"analysis":[7],"of":[8,26,51,69,76,91,162,173,229,242],"nonimaging":[9],"(i.e.,":[10],"clinical,":[11],"electrographic":[12,33,254],"and":[13,34,47,58,61,78,81,103,113,126,141,149,187,205,255,258],"neuropsychological)":[14],"attributes":[15],"in":[16,64,88],"localization-related":[17],"epilepsy":[18,94],"(LRE),":[19],"specifically,":[20],"their":[21],"impact":[22],"on":[23],"the":[24,43,48,52,70,114,120,150,156,163,180,184,188,206,223,240,250],"selection":[25],"patients":[27,95],"surgical":[29,176],"consideration.":[30],"Both":[31],"invasive":[32],"imaging":[35,256],"data":[36,85,147,257],"are":[37],"excluded":[38],"here":[39],"to":[40,66,195,239],"concentrate":[41],"upon":[42],"initial":[44],"clinical":[45],"presentation":[46],"varied":[49],"elements":[50],"seizure":[53],"history,":[54],"ictal":[55],"semiology,":[56],"risk":[57],"seizure-precipitating":[59],"factors":[60],"physical":[62],"findings":[63,248],"addition":[65],"several":[67],"features":[68],"neuropsychological":[71],"profile":[72],"including":[73],"various":[74],"parameters":[75],"cognition":[77],"both":[79],"speech":[80],"memory":[82],"lateralization.":[83],"was":[86,155,168,217],"accrued":[87],"a":[89,259],"database":[90],"temporal":[92],"lobe":[93],"(HBIDS).":[96],"Six":[97],"algorithms":[98],"comprising":[99],"feature":[100,133],"selection,":[101],"clustering":[102,148],"classification":[104,157],"were":[106,197,200],"used.":[107],"Correlation-Based":[109],"Feature":[110],"Selection":[111],"(CFS)":[112],"Classifier":[115,154],"Subset":[116],"Evaluator":[117],"(CSE)":[118],"with":[119,183,191,231,246],"Genetic":[121],"Algorithm":[122],"(GA)":[123],"search":[124],"tool":[125,158],"ReliefF":[127,204],"Attribute":[128],"Evaluation":[129],"provided":[131,146,222],"selection.":[134],"Expectation":[136],"Maximization":[137],"(EM)":[138],"Class":[139],"Clustering":[140,144],"Incremental":[142],"Conceptual":[143],"(COBWEB)":[145],"Multilayer":[151],"Perceptron":[152],"(MLP)":[153],"at":[159],"all":[160],"stages":[161],"study.":[164],"Engel":[166,232],"Classification":[167],"used":[169],"as":[170],"an":[171,227,236],"output":[172],"classifier":[174],"success.":[177],"Attributes":[178],"demonstrating":[179],"highest":[181],"correlation":[182],"outcome":[185],"class":[186],"least":[189],"intercorrelation":[190],"each":[192,215],"other,":[193],"according":[194],"CFS,":[196],"selected.":[198],"These":[199],"then":[201],"ranked":[202],"using":[203],"top":[207],"rankings":[208],"chosen.":[209],"best":[211,224],"attribute":[212],"combination":[213],"cluster":[216],"found":[218],"by":[219],"MLP.":[220],"COBWEB":[221],"results":[225],"showing":[226],"association":[228],"56%":[230],"class.":[233],"In":[234],"conclusion,":[235],"approach":[238],"LRE":[243],"is":[244],"feasible":[245],"supporting":[249],"need":[251],"correlative":[253],"greater":[260],"archival":[261],"population.":[262]},"counts_by_year":[],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2025-10-10T00:00:00"}
