{"id":"https://openalex.org/W2914281342","doi":"https://doi.org/10.1109/mwscas.2018.8623946","title":"Deep Structural and Clinical Feature Learning for Semi-Supervised Multiclass Prediction of Alzheimer\u2019s Disease","display_name":"Deep Structural and Clinical Feature Learning for Semi-Supervised Multiclass Prediction of Alzheimer\u2019s Disease","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2914281342","doi":"https://doi.org/10.1109/mwscas.2018.8623946","mag":"2914281342"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas.2018.8623946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2018.8623946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5068770723","display_name":"Emimal Jabason","orcid":"https://orcid.org/0000-0002-2537-9470"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Emimal Jabason","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068820891","display_name":"M. Omair Ahmad","orcid":"https://orcid.org/0000-0002-2924-6659"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Omair Ahmad","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013967994","display_name":"M.N.S. Swamy","orcid":"https://orcid.org/0000-0002-3989-5476"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. N. S Swamy","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"791","last_page":"794"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9955999851226807,"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"}},"topics":[{"id":"https://openalex.org/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9955999851226807,"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"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9904000163078308,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8296551704406738},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7073249816894531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6835713386535645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6610156893730164},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6371121406555176},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.5543785691261292},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.48274749517440796},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.4415718913078308},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4384183883666992},{"id":"https://openalex.org/keywords/multinomial-logistic-regression","display_name":"Multinomial logistic regression","score":0.4151039719581604},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4113166332244873},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4105681777000427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3969707489013672},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3121289610862732},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.20746204257011414},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20674091577529907},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.10155132412910461},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.0806378424167633}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8296551704406738},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7073249816894531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6835713386535645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6610156893730164},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6371121406555176},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.5543785691261292},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.48274749517440796},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.4415718913078308},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4384183883666992},{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.4151039719581604},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4113166332244873},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4105681777000427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3969707489013672},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3121289610862732},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.20746204257011414},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20674091577529907},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.10155132412910461},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0806378424167633},{"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:10.1109/mwscas.2018.8623946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2018.8623946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W281036081","https://openalex.org/W1619016366","https://openalex.org/W2036915635","https://openalex.org/W2051812123","https://openalex.org/W2057536936","https://openalex.org/W2072128103","https://openalex.org/W2078524519","https://openalex.org/W2109743529","https://openalex.org/W2123623728","https://openalex.org/W2286206973","https://openalex.org/W2327949797","https://openalex.org/W2469941224","https://openalex.org/W2574038793","https://openalex.org/W2604308885","https://openalex.org/W2614088678","https://openalex.org/W2789337348","https://openalex.org/W3102185977","https://openalex.org/W4211050998","https://openalex.org/W4231109964","https://openalex.org/W6736314251"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4289763776","https://openalex.org/W2810330923","https://openalex.org/W4382934674"],"abstract_inverted_index":{"Although":[0],"there":[1],"is":[2,77,160],"no":[3],"cure":[4],"for":[5],"Alzheimer's":[6,153],"disease":[7,154],"(AD),":[8],"the":[9,26,29,32,39,62,66,74,87,108,118,135,163,184],"early":[10],"accurate":[11],"prediction":[12],"of":[13,28,34,41,51,73,83,92,172],"clinical":[14,114,147],"status":[15],"plays":[16],"a":[17,35,70,97,127],"significant":[18],"role":[19],"in":[20,45,65,86,170,177],"preventing,":[21],"treating,":[22],"and":[23,38,113,120,143,175],"slowing":[24],"down":[25],"progression":[27],"disease.":[30],"However,":[31,69],"absence":[33],"single":[36],"test":[37],"complexity":[40],"AD":[42,52],"create":[43],"delays":[44],"diagnosis.":[46],"In":[47,90],"recent":[48],"years,":[49],"diagnosis":[50],"using":[53],"different":[54],"biomarkers":[55],"through":[56],"machine":[57],"learning":[58],"techniques":[59],"has":[60],"been":[61],"hottest":[63],"research":[64],"medical":[67],"field.":[68],"common":[71],"bottleneck":[72],"diagnostic":[75],"performance":[76,169],"overfitting":[78],"due":[79],"to":[80,106,132,183],"having":[81,137],"lot":[82],"irrelevant":[84],"features":[85,115],"training":[88],"data.":[89],"view":[91],"this":[93],"fact,":[94],"we":[95],"propose":[96],"novel":[98],"classification":[99,165],"framework":[100],"which":[101],"uses":[102],"unsupervised":[103],"autoencoder":[104],"network":[105],"select":[107],"subset":[109],"from":[110],"given":[111],"structural":[112],"by":[116,126],"exploring":[117],"linear":[119],"nonlinear":[121],"relationship":[122],"among":[123],"them":[124],"followed":[125],"supervised":[128],"multinomial":[129],"logistic":[130],"layer":[131],"automatically":[133],"identify":[134],"patients":[136],"AD,":[138],"mild":[139],"cognitive":[140],"impairment":[141],"(MCI),":[142],"cognitively":[144],"normal":[145],"(CN)":[146],"status.":[148],"Through":[149],"experimental":[150],"results":[151],"on":[152],"neuroimaging":[155],"initiative":[156],"(ADNI)":[157],"database,":[158],"it":[159],"shown":[161],"that":[162],"proposed":[164],"algorithm":[166],"achieves":[167],"better":[168],"terms":[171],"accuracy,":[173],"sensitivity,":[174],"specificity":[176],"5-fold":[178],"cross":[179],"validation":[180],"when":[181],"compared":[182],"state-of-the-art":[185],"methods.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}