{"id":"https://openalex.org/W4391695061","doi":"https://doi.org/10.3233/idt-230635","title":"An effectual recommendation model using hybrid learning models for early detection of Alzheimer\u2019s disease","display_name":"An effectual recommendation model using hybrid learning models for early detection of Alzheimer\u2019s disease","publication_year":2024,"publication_date":"2024-02-09","ids":{"openalex":"https://openalex.org/W4391695061","doi":"https://doi.org/10.3233/idt-230635"},"language":"en","primary_location":{"id":"doi:10.3233/idt-230635","is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-230635","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"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":"Intelligent Decision Technologies","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/A5047808263","display_name":"V. Sanjay","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Sanjay","raw_affiliation_strings":["School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102801265","display_name":"P. Swarnalatha","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"P. Swarnalatha","raw_affiliation_strings":["School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102801265"],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":null,"apc_paid":null,"fwci":1.0492,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74993335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"18","issue":"2","first_page":"1541","last_page":"1556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9621999859809875,"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":0.9621999859809875,"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":0.9063000082969666,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.900600016117096,"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/computer-science","display_name":"Computer science","score":0.5913510918617249},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5540383458137512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.50685054063797},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38289493322372437},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2219482660293579},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08789041638374329}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5913510918617249},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5540383458137512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.50685054063797},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38289493322372437},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2219482660293579},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08789041638374329}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/idt-230635","is_oa":false,"landing_page_url":"https://doi.org/10.3233/idt-230635","pdf_url":null,"source":{"id":"https://openalex.org/S119727669","display_name":"Intelligent Decision Technologies","issn_l":"1872-4981","issn":["1872-4981","1875-8843"],"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":"Intelligent Decision Technologies","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":35,"referenced_works":["https://openalex.org/W18328919","https://openalex.org/W1967454692","https://openalex.org/W1970902974","https://openalex.org/W1982031183","https://openalex.org/W1984544413","https://openalex.org/W2006247983","https://openalex.org/W2070080725","https://openalex.org/W2083522073","https://openalex.org/W2104230802","https://openalex.org/W2119406369","https://openalex.org/W2125045513","https://openalex.org/W2132122471","https://openalex.org/W2410409199","https://openalex.org/W2416792716","https://openalex.org/W2604192360","https://openalex.org/W2766494754","https://openalex.org/W2774602532","https://openalex.org/W2802099531","https://openalex.org/W2883432928","https://openalex.org/W2965102627","https://openalex.org/W3091882848","https://openalex.org/W3098571969","https://openalex.org/W3134316506","https://openalex.org/W3167089249","https://openalex.org/W3191254976","https://openalex.org/W3205432043","https://openalex.org/W4210279739","https://openalex.org/W4220825176","https://openalex.org/W4281747958","https://openalex.org/W4286488964","https://openalex.org/W4311549226","https://openalex.org/W4312960238","https://openalex.org/W4376630714","https://openalex.org/W6847801376","https://openalex.org/W6875373345"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Alzheimer\u2019s":[0],"disease":[1],"(AD)":[2],"is":[3,24,109,123,238],"a":[4,36,82,97,181,241,265,295],"neurodegenerative":[5],"disorder":[6],"that":[7,267,285],"affects":[8],"millions":[9],"of":[10,104,140,146,169,206,224,244,288],"individuals":[11],"worldwide,":[12],"causing":[13],"progressive":[14],"cognitive":[15],"decline.":[16],"Early":[17],"prediction":[18,41],"and":[19,29,47,53,61,80,93,119,135,208,231,253,273,292,300,304],"diagnosis":[20,303],"the":[21,102,105,128,132,137,151,167,213,222,258,278,286],"AD":[22,40,207,280,302],"accurately":[23],"crucial":[25],"for":[26,39,78,84,111,125,186,298],"effective":[27],"intervention":[28],"treatment.":[30],"In":[31],"this":[32],"study,":[33],"we":[34,70,149,216],"propose":[35],"comprehensive":[37,296],"framework":[38],"using":[42,59],"various":[43],"techniques,":[44],"including":[45],"preprocessing":[46,92],"denoising":[48,94],"with":[49,63,76,219,264],"Multilayer":[50],"Perceptron":[51],"(MLP)":[52],"Ant":[54],"Colony":[55],"Optimization":[56],"(ACO),":[57],"segmentation":[58,145,162],"U-Net,":[60],"classification":[62,174,177,205,293],"Spatial":[64],"Pyramid":[65],"Pooling":[66],"Network":[67,74],"(SPPNet).":[68],"Furthermore,":[69],"employ":[71,150,217],"Convolutional":[72],"Neural":[73],"(CNN)":[75],"SPPNet":[77,196],"training":[79,214],"develop":[81],"chatbot":[83,266],"recommendation":[85],"based":[86,276],"on":[87,240,277],"MRI":[88,245,269],"data":[89,129,270],"input.":[90],"The":[91,176,235],"techniques":[95],"play":[96],"vital":[98],"role":[99],"in":[100,159,172],"enhancing":[101,136],"quality":[103],"input":[106,272],"data.":[107],"MLP":[108],"utilized":[110],"preprocessing,":[112,289],"where":[113],"it":[114,248],"effectively":[115,165],"handles":[116],"feature":[117],"extraction":[118],"noise":[120],"reduction.":[121],"ACO":[122],"employed":[124],"denoising,":[126,290],"optimizing":[127],"to":[130,189,227,249],"improve":[131,232],"signal-to-noise":[133],"ratio,":[134],"overall":[138],"performance":[139],"subsequent":[141,173],"stages.":[142,175],"For":[143],"accurate":[144,255,299],"brain":[147,201],"regions,":[148,202],"U-Net":[152,164],"architecture,":[153],"which":[154],"has":[155],"shown":[156],"remarkable":[157],"success":[158],"medical":[160],"image":[161],"tasks.":[163],"identifies":[166],"regions":[168],"interest,":[170],"aiding":[171],"phase":[178],"utilizes":[179],"SPPNet,":[180,220],"deep":[182],"learning":[183],"model":[184,237],"known":[185],"its":[187],"ability":[188],"capture":[190,228],"spatial":[191],"information":[192],"at":[193],"multiple":[194],"scales.":[195],"extracts":[197],"features":[198],"from":[199],"segmented":[200],"enabling":[203,247],"robust":[204],"non-AD":[209],"cases.":[210],"To":[211],"enhance":[212],"process,":[215],"CNN":[218],"leveraging":[221],"power":[223],"convolutional":[225],"layers":[226],"intricate":[229],"patterns":[230],"predictive":[233],"accuracy.":[234],"CNN-SPPNet":[236],"trained":[239],"large":[242],"dataset":[243],"scans,":[246],"learn":[250],"complex":[251],"representations":[252],"make":[254],"predictions.":[256],"Hence":[257],"proposed":[259],"work":[260],"can":[261],"be":[262],"integrated":[263],"takes":[268],"as":[271],"provides":[274],"recommendations":[275],"predicted":[279],"probability.":[281],"Experimental":[282],"evaluation":[283],"shows":[284],"combination":[287],"segmentation,":[291],"offers":[294],"solution":[297],"efficient":[301],"management.":[305]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}