{"id":"https://openalex.org/W4377090854","doi":"https://doi.org/10.3233/web-220129","title":"Intelligence model for Alzheimer\u2019s disease detection with optimal trained deep hybrid model","display_name":"Intelligence model for Alzheimer\u2019s disease detection with optimal trained deep hybrid model","publication_year":2023,"publication_date":"2023-05-19","ids":{"openalex":"https://openalex.org/W4377090854","doi":"https://doi.org/10.3233/web-220129"},"language":"en","primary_location":{"id":"doi:10.3233/web-220129","is_oa":true,"landing_page_url":"https://doi.org/10.3233/web-220129","pdf_url":"https://content.iospress.com:443/download/web-intelligence/web220129?id=web-intelligence%2Fweb220129","source":{"id":"https://openalex.org/S4210183871","display_name":"Web Intelligence","issn_l":"2405-6456","issn":["2405-6456","2405-6464"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Web Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://content.iospress.com:443/download/web-intelligence/web220129?id=web-intelligence%2Fweb220129","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091979547","display_name":"Rajasree RS","orcid":null},"institutions":[{"id":"https://openalex.org/I860813019","display_name":"Bharath University","ror":"https://ror.org/04yazpn06","country_code":"IN","type":"education","lineage":["https://openalex.org/I860813019"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rajasree RS","raw_affiliation_strings":["Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Selaiyur, Chennai-600 073, Tamilnadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Selaiyur, Chennai-600 073, Tamilnadu, India","institution_ids":["https://openalex.org/I860813019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058838200","display_name":"Brintha Rajakumari S","orcid":null},"institutions":[{"id":"https://openalex.org/I860813019","display_name":"Bharath University","ror":"https://ror.org/04yazpn06","country_code":"IN","type":"education","lineage":["https://openalex.org/I860813019"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Brintha Rajakumari S","raw_affiliation_strings":["Department of Computer Science, Bharath Institute of Higher Education and Research, Selaiyur, Chennai-600 073, Tamilnadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Bharath Institute of Higher Education and Research, Selaiyur, Chennai-600 073, Tamilnadu, India","institution_ids":["https://openalex.org/I860813019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5091979547"],"corresponding_institution_ids":["https://openalex.org/I860813019"],"apc_list":{"value":4150,"currency":"USD","value_usd":4150},"apc_paid":null,"fwci":0.1849,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49510083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"22","issue":"2","first_page":"131","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.996999979019165,"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":0.996999979019165,"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":0.9914000034332275,"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"}},{"id":"https://openalex.org/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9811999797821045,"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":0.7063354253768921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6984326839447021},{"id":"https://openalex.org/keywords/dementia","display_name":"Dementia","score":0.6272878646850586},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5618816614151001},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5550127029418945},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5268503427505493},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47854217886924744},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4746939539909363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4709770679473877},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4614172875881195},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.44409996271133423},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.2632713317871094},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10792192816734314}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7063354253768921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6984326839447021},{"id":"https://openalex.org/C2779483572","wikidata":"https://www.wikidata.org/wiki/Q83030","display_name":"Dementia","level":3,"score":0.6272878646850586},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5618816614151001},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5550127029418945},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5268503427505493},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47854217886924744},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4746939539909363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4709770679473877},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4614172875881195},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.44409996271133423},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.2632713317871094},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10792192816734314},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/web-220129","is_oa":true,"landing_page_url":"https://doi.org/10.3233/web-220129","pdf_url":"https://content.iospress.com:443/download/web-intelligence/web220129?id=web-intelligence%2Fweb220129","source":{"id":"https://openalex.org/S4210183871","display_name":"Web Intelligence","issn_l":"2405-6456","issn":["2405-6456","2405-6464"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Web Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3233/web-220129","is_oa":true,"landing_page_url":"https://doi.org/10.3233/web-220129","pdf_url":"https://content.iospress.com:443/download/web-intelligence/web220129?id=web-intelligence%2Fweb220129","source":{"id":"https://openalex.org/S4210183871","display_name":"Web Intelligence","issn_l":"2405-6456","issn":["2405-6456","2405-6464"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Web Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4377090854.pdf","grobid_xml":"https://content.openalex.org/works/W4377090854.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1968419113","https://openalex.org/W2790849663","https://openalex.org/W2905035821","https://openalex.org/W2990581109","https://openalex.org/W3000333530","https://openalex.org/W3003245439","https://openalex.org/W3004110416","https://openalex.org/W3016609708","https://openalex.org/W3019196002","https://openalex.org/W3022315685","https://openalex.org/W3034151505","https://openalex.org/W3083622693","https://openalex.org/W3087538850","https://openalex.org/W3097518530","https://openalex.org/W3118577024","https://openalex.org/W3129822799","https://openalex.org/W3134726279","https://openalex.org/W3161497379","https://openalex.org/W3171990888","https://openalex.org/W3172943905","https://openalex.org/W3197187552","https://openalex.org/W3198901578","https://openalex.org/W4200231613","https://openalex.org/W4289110448","https://openalex.org/W4313826410","https://openalex.org/W6749302402","https://openalex.org/W6772950371","https://openalex.org/W6776370142"],"related_works":["https://openalex.org/W2773120646","https://openalex.org/W2132729794","https://openalex.org/W2946016983","https://openalex.org/W2733060750","https://openalex.org/W3156786002","https://openalex.org/W2345184372","https://openalex.org/W2592385986","https://openalex.org/W2588076546","https://openalex.org/W3185455591","https://openalex.org/W4317987726"],"abstract_inverted_index":{"Alzheimer\u2019s":[0,42],"disease":[1,45],"(AD),":[2],"a":[3,29,64,72,93,136,173],"neurodegenerative":[4],"disorder,":[5],"is":[6,46,49,119,239],"the":[7,39,52,76,113,116,128,164,170,202,214,242],"most":[8],"common":[9],"cause":[10],"of":[11,38,41,57,66,79,102,205,228],"dementia":[12,44],"and":[13,32,43,85,109,146,196,201,207,237,251],"continuing":[14],"cognitive":[15],"deficits.":[16],"Since":[17],"there":[18],"are":[19,86],"more":[20],"cases":[21],"each":[22],"year,":[23],"AD":[24,59,81,95,110],"has":[25,61,99],"grown":[26],"to":[27,182],"be":[28,151,157,177,211],"serious":[30],"social":[31],"public":[33],"health":[34],"issue.":[35],"Early":[36],"detection":[37,96],"diagnosis":[40,60,74],"crucial,":[47],"as":[48,232],"giving":[50],"them":[51],"right":[53],"care.":[54],"The":[55,68,153],"importance":[56],"early":[58],"recently":[62],"received":[63],"lot":[65],"attention.":[67],"patient":[69],"cannot":[70],"receive":[71],"timely":[73],"since":[75],"present":[77],"methods":[78],"diagnosing":[80],"take":[82],"so":[83,87],"long":[84],"expensive.":[88],"That\u2019s":[89],"why":[90],"we":[91],"created":[92],"brand-new":[94],"method":[97],"that":[98],"four":[100],"steps":[101],"operation:":[103],"pre-processing,":[104,129],"feature":[105,107,137],"extraction,":[106],"selection,":[108],"detection.":[111],"During":[112],"pre-processing":[114],"stage,":[115],"input":[117],"data":[118,124,132],"pre-processed":[120,131],"using":[121,163],"an":[122],"improved":[123],"normalization":[125],"method.":[126],"Following":[127],"these":[130,160],"will":[133,150,156,176,210],"go":[134],"through":[135],"extraction":[138],"procedure":[139],"where":[140],"features":[141,149,155],"including":[142],"statistical,":[143],"enhanced":[144,165],"entropy-based":[145],"mutual":[147],"information-based":[148],"extracted.":[152],"appropriate":[154],"chosen":[158],"from":[159],"extracted":[161],"characteristics":[162],"Chi-square":[166],"technique.":[167],"Based":[168],"on":[169],"selected":[171],"features,":[172],"hybrid":[174,186],"model":[175,187],"used":[178],"in":[179],"this":[180],"study":[181],"detect":[183],"AD.":[184],"This":[185],"combines":[188],"classifiers":[189],"like":[190,245],"Long":[191],"Short":[192],"Term":[193],"Memory":[194],"(LSTM)":[195],"Deep":[197,208],"Maxout":[198,209],"neural":[199],"networks,":[200],"weight":[203],"parameters":[204],"LSTM":[206],"optimized":[212],"by":[213],"Self":[215],"Updated":[216],"Shuffled":[217],"Shepherd":[218],"Optimization":[219],"Algorithm":[220],"(SUSSOA).":[221],"Our":[222],"Proposed":[223],"SUSSOA-based":[224],"method\u2019s":[225],"statistical":[226],"analysis":[227],"best":[229],"values":[230],"such":[231],"57%,":[233],"53%,":[234],"28%,":[235],"25%,":[236],"21%":[238],"higher":[240],"than":[241],"other":[243],"models":[244],"SSO,":[246],"BMO,":[247],"HGS,":[248],"BRO,":[249],"BES,":[250],"ISSO":[252],"respectively.":[253]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-24T07:32:12.397491","created_date":"2025-10-10T00:00:00"}