{"id":"https://openalex.org/W3198473940","doi":"https://doi.org/10.1080/0952813x.2021.1970237","title":"A novel solution of an elastic net regularisation for dementia knowledge discovery using deep learning","display_name":"A novel solution of an elastic net regularisation for dementia knowledge discovery using deep learning","publication_year":2021,"publication_date":"2021-09-05","ids":{"openalex":"https://openalex.org/W3198473940","doi":"https://doi.org/10.1080/0952813x.2021.1970237","mag":"3198473940"},"language":"en","primary_location":{"id":"doi:10.1080/0952813x.2021.1970237","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0952813x.2021.1970237","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Experimental & Theoretical Artificial Intelligence","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/A5017378320","display_name":"Kshitiz Shrestha","orcid":null},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kshitiz Shrestha","raw_affiliation_strings":["School of Computing and Mathematics, Charles Sturt University (Csu), Wagga Wagga, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Charles Sturt University (Csu), Wagga Wagga, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065182544","display_name":"Omar Hisham Alsadoon","orcid":"https://orcid.org/0000-0001-7797-6392"},"institutions":[{"id":"https://openalex.org/I3131779051","display_name":"Iraqi University","ror":"https://ror.org/01wfhkb67","country_code":"IQ","type":"education","lineage":["https://openalex.org/I3131779051"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Omar Hisham Alsadoon","raw_affiliation_strings":["Department of Islamic Sciences, Al Iraqia University, Baghdad, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Islamic Sciences, Al Iraqia University, Baghdad, Iraq","institution_ids":["https://openalex.org/I3131779051"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011606467","display_name":"Abeer Alsadoon","orcid":"https://orcid.org/0000-0002-2309-3540"},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]},{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Abeer Alsadoon","raw_affiliation_strings":["Asia Pacific International College (APIC), Information Technology Department, Sydney, Australia","Kent Institute Australia, Information Technology Department, Sydney, Australia","School of Computer Data and Mathematical Sciences, University of Western Sydney (Uws), Australia","School of Computing and Mathematics, Charles Sturt University (Csu), Wagga Wagga, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Asia Pacific International College (APIC), Information Technology Department, Sydney, Australia","institution_ids":[]},{"raw_affiliation_string":"Kent Institute Australia, Information Technology Department, Sydney, Australia","institution_ids":[]},{"raw_affiliation_string":"School of Computer Data and Mathematical Sciences, University of Western Sydney (Uws), Australia","institution_ids":["https://openalex.org/I63525965"]},{"raw_affiliation_string":"School of Computing and Mathematics, Charles Sturt University (Csu), Wagga Wagga, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065801825","display_name":"Tarik A. Rashid","orcid":"https://orcid.org/0000-0002-8661-258X"},"institutions":[{"id":"https://openalex.org/I3151615967","display_name":"University of Kurdistan Hewler","ror":"https://ror.org/00268wk31","country_code":"IQ","type":"education","lineage":["https://openalex.org/I3151615967"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Tarik A. Rashid","raw_affiliation_strings":["Computer Science and Engineering, University of Kurdistan Hewler, Erbil, KRG, IRAQ"],"raw_orcid":"https://orcid.org/0000-0002-8661-258X","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, University of Kurdistan Hewler, Erbil, KRG, IRAQ","institution_ids":["https://openalex.org/I3151615967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003552849","display_name":"Rasha S. Ali","orcid":"https://orcid.org/0000-0002-9767-7151"},"institutions":[{"id":"https://openalex.org/I4210090457","display_name":"Al-Nisour University College","ror":"https://ror.org/0183g0e10","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4210090457"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Rasha S. Ali","raw_affiliation_strings":["Department of Computer Techniques Engineering, Al Nisour University College, Baghdad, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Techniques Engineering, Al Nisour University College, Baghdad, Iraq","institution_ids":["https://openalex.org/I4210090457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113513517","display_name":"P. W. C. Prasad","orcid":null},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"P.W.C. Prasad","raw_affiliation_strings":["Kent Institute Australia, Information Technology Department, Sydney, Australia","School of Computer Data and Mathematical Sciences, University of Western Sydney (Uws), Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kent Institute Australia, Information Technology Department, Sydney, Australia","institution_ids":[]},{"raw_affiliation_string":"School of Computer Data and Mathematical Sciences, University of Western Sydney (Uws), Australia","institution_ids":["https://openalex.org/I63525965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002430892","display_name":"Oday D. Jerew","orcid":"https://orcid.org/0000-0003-0245-3284"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oday D. Jerew","raw_affiliation_strings":["Asia Pacific International College (APIC), Information Technology Department, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Asia Pacific International College (APIC), Information Technology Department, Sydney, Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5011606467"],"corresponding_institution_ids":["https://openalex.org/I153230381","https://openalex.org/I63525965"],"apc_list":null,"apc_paid":null,"fwci":0.3699,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"35","issue":"6","first_page":"807","last_page":"829"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.972599983215332,"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"}},{"id":"https://openalex.org/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8238919973373413},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.817462682723999},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.7643862962722778},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6998653411865234},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6681054830551147},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.6499857306480408},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6090142726898193},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6004613041877747},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5751734972000122},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5337930917739868},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4506648778915405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4244523048400879},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4239288866519928},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3454280197620392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8238919973373413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.817462682723999},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.7643862962722778},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6998653411865234},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6681054830551147},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.6499857306480408},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6090142726898193},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6004613041877747},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5751734972000122},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5337930917739868},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4506648778915405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4244523048400879},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4239288866519928},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3454280197620392},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/0952813x.2021.1970237","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0952813x.2021.1970237","pdf_url":null,"source":{"id":"https://openalex.org/S153467142","display_name":"Journal of Experimental & Theoretical Artificial Intelligence","issn_l":"0952-813X","issn":["0952-813X","1362-3079"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Experimental & Theoretical Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W14392008","https://openalex.org/W2238263898","https://openalex.org/W2266634660","https://openalex.org/W2466505821","https://openalex.org/W2589814232","https://openalex.org/W2765874485","https://openalex.org/W2769782531","https://openalex.org/W2788264489","https://openalex.org/W2886816856","https://openalex.org/W2894895904","https://openalex.org/W2895150963","https://openalex.org/W2896115045","https://openalex.org/W2964171289","https://openalex.org/W4249114069"],"related_works":["https://openalex.org/W4213314600","https://openalex.org/W2380784125","https://openalex.org/W2997212488","https://openalex.org/W4387870091","https://openalex.org/W2951046768","https://openalex.org/W3118634075","https://openalex.org/W2765894738","https://openalex.org/W3118209272","https://openalex.org/W1997711767","https://openalex.org/W2991486385"],"abstract_inverted_index":{"Accurate":[0],"classification":[1,40,56,83,151,181,223],"of":[2,37,55,73,82,152,161,211,217],"Magnetic":[3],"Resonance":[4],"Images":[5],"(MRI)":[6],"is":[7,41,165,202],"essential":[8],"to":[9,16,28,46,78,123,144,173],"accurately":[10],"predict":[11,31],"Mild":[12],"Cognitive":[13],"Impairment":[14],"(MCI)":[15],"Alzheimer\u2019s":[17],"Disease":[18],"(AD)":[19],"conversion.":[20],"Meanwhile,":[21],"deep":[22],"learning":[23],"has":[24,178],"been":[25],"successfully":[26],"implemented":[27],"classify":[29],"and":[30,50,84,109,128,187,208,222,230,240],"dementia":[32],"disease.":[33],"However,":[34],"the":[35,48,52,80,92,118,136,150,159,162,168,175,180,189,206,238,241],"accuracy":[36,49,81,160,182,207,239],"MRI":[38,93,153],"image":[39],"low.":[42],"This":[43],"paper":[44],"aims":[45],"increase":[47],"reduce":[51],"processing":[53,190,209,242],"time":[54,191,210,243],"through":[57,102,111],"Deep":[58],"Learning":[59,147],"Architecture":[60],"by":[61,86,183,192,244],"using":[62,87,224,245],"Elastic":[63,88,129,228,246],"Net":[64,89,130,247],"Regularisation":[65,131],"in":[66],"Feature":[67],"Selection.":[68],"The":[69,155,199],"proposed":[70,163,176,200],"system":[71,201],"consists":[72,216],"Convolutional":[74],"Neural":[75],"Network":[76],"(CNN)":[77],"enhance":[79],"prediction":[85],"Regularisation.":[90],"Initially,":[91],"images":[94],"are":[95,121,139],"fed":[96],"into":[97],"CNN":[98],"for":[99,132,149,254],"features":[100,119,138,218,253],"extraction":[101],"convolutional":[103],"layers":[104],"alternate":[105],"with":[106],"pooling":[107],"layers,":[108],"then":[110],"a":[112],"fully":[113],"connected":[114],"layer.":[115],"After":[116],"that,":[117,174],"extracted":[120],"subjected":[122],"Principle":[124],"Component":[125],"Analysis":[126],"(PCA)":[127],"feature":[133,220],"selection.":[134],"Finally,":[135,234],"selected":[137,252],"used":[140],"as":[141],"an":[142],"input":[143],"Extreme":[145,231],"Machine":[146,232],"(EML)":[148],"images.":[154],"result":[156],"shows":[157],"that":[158],"solution":[164],"better":[166],"than":[167],"current":[169],"system.":[170],"In":[171],"addition":[172],"method":[177],"improved":[179],"5%":[184],"on":[185,197,204],"average":[186],"reduced":[188],"30":[193],"~":[194],"40":[195],"seconds":[196],"average.":[198],"focused":[203],"improving":[205],"MCI":[212],"converters/non-converters":[213],"classification.":[214,255],"It":[215],"extraction,":[219],"selection,":[221],"CNN,":[225],"FreeSurfer,":[226],"PCA,":[227],"Net,":[229],"Learning.":[233],"this":[235],"study":[236],"enhances":[237],"Regularisation,":[248],"which":[249],"provides":[250],"important":[251]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}