{"id":"https://openalex.org/W4313705729","doi":"https://doi.org/10.1142/s0219467824500311","title":"Multiclass Diagnosis of Alzheimer\u2019s Disease Analysis Using Machine Learning and Deep Learning Techniques","display_name":"Multiclass Diagnosis of Alzheimer\u2019s Disease Analysis Using Machine Learning and Deep Learning Techniques","publication_year":2023,"publication_date":"2023-01-07","ids":{"openalex":"https://openalex.org/W4313705729","doi":"https://doi.org/10.1142/s0219467824500311"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467824500311","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1142/s0219467824500311","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","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/A5021202296","display_name":"Afiya Parveen Begum","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":null,"type":"education","lineage":["https://openalex.org/I4401726783"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Afiya Parveen Begum","raw_affiliation_strings":["School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4401726783"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087461406","display_name":"Prabha Selvaraj","orcid":"https://orcid.org/0000-0002-0820-9146"},"institutions":[{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":null,"type":"education","lineage":["https://openalex.org/I4401726783"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Prabha Selvaraj","raw_affiliation_strings":["School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4401726783"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087461406"],"corresponding_institution_ids":["https://openalex.org/I4401726783"],"apc_list":null,"apc_paid":null,"fwci":0.465,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62343758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"24","issue":"03","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.998199999332428,"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":0.998199999332428,"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/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9901000261306763,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.98089998960495,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7706854343414307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6925842761993408},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6919577717781067},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6032071113586426},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5107736587524414},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5075215101242065},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49065151810646057},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4311932921409607}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7706854343414307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6925842761993408},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6919577717781067},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6032071113586426},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5107736587524414},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5075215101242065},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49065151810646057},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4311932921409607},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467824500311","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1142/s0219467824500311","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1924083433","https://openalex.org/W1973637437","https://openalex.org/W1974874858","https://openalex.org/W1992395739","https://openalex.org/W2001648635","https://openalex.org/W2009849234","https://openalex.org/W2026553142","https://openalex.org/W2038003677","https://openalex.org/W2054540100","https://openalex.org/W2057920800","https://openalex.org/W2071881327","https://openalex.org/W2080770218","https://openalex.org/W2098017711","https://openalex.org/W2101282194","https://openalex.org/W2126598020","https://openalex.org/W2130371234","https://openalex.org/W2146089088","https://openalex.org/W2153021580","https://openalex.org/W2322424401","https://openalex.org/W2413582275","https://openalex.org/W2475285134","https://openalex.org/W2567599812","https://openalex.org/W2582180708","https://openalex.org/W2593468621","https://openalex.org/W2614542815","https://openalex.org/W2767301142","https://openalex.org/W2769782531","https://openalex.org/W2783188875","https://openalex.org/W2783789550","https://openalex.org/W2789337348","https://openalex.org/W2790260297","https://openalex.org/W2791282053","https://openalex.org/W2805773775","https://openalex.org/W2887293045","https://openalex.org/W2893483035","https://openalex.org/W2895106932","https://openalex.org/W2900386946","https://openalex.org/W2905035821","https://openalex.org/W2906155095","https://openalex.org/W2921824753","https://openalex.org/W2936743816","https://openalex.org/W2955950556","https://openalex.org/W2981355144","https://openalex.org/W2995864059","https://openalex.org/W2997873617","https://openalex.org/W3034005492","https://openalex.org/W3040248281","https://openalex.org/W3084287580","https://openalex.org/W3086692158","https://openalex.org/W3087050764","https://openalex.org/W3125959229","https://openalex.org/W3131390313","https://openalex.org/W3135876408","https://openalex.org/W3155495622","https://openalex.org/W3159193195","https://openalex.org/W3161927313","https://openalex.org/W4211139529","https://openalex.org/W4248763915"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W4393011546","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Alzheimer\u2019s":[0],"disease":[1],"(AD)":[2],"is":[3,19],"a":[4,9,83],"popular":[5],"neurological":[6],"disorder":[7],"affecting":[8],"critical":[10],"part":[11],"of":[12,26,56,77,86,92],"the":[13,24,54,106,116],"world\u2019s":[14],"population.":[15],"Its":[16],"early":[17],"diagnosis":[18,76,124],"extremely":[20],"imperative":[21],"for":[22,48,74,125],"enhancing":[23],"quality":[25],"patients\u2019":[27],"lives.":[28],"Recently,":[29],"improved":[30],"technologies":[31],"like":[32],"image":[33,57],"processing,":[34,58],"artificial":[35],"intelligence":[36],"involving":[37],"machine":[38],"learning,":[39,41],"deep":[40],"and":[42,62,101],"transfer":[43],"learning":[44],"have":[45],"been":[46],"introduced":[47],"detecting":[49],"AD.":[50,78],"This":[51,113],"review":[52],"describes":[53],"contribution":[55],"feature":[59],"extraction,":[60],"optimization,":[61],"classification":[63,97],"approach":[64],"in":[65,90,110,129],"AD":[66,88,123],"recognition.":[67],"It":[68,103],"deeply":[69],"investigates":[70],"different":[71],"methods":[72],"adopted":[73],"multiclass":[75],"The":[79],"paper":[80,114],"further":[81],"presents":[82],"brief":[84],"comparison":[85],"existing":[87],"studies":[89],"terms":[91],"techniques":[93],"adopted,":[94],"performance":[95],"measures,":[96],"accuracy,":[98],"publication":[99],"year,":[100],"datasets.":[102],"then":[104],"summarizes":[105],"important":[107],"technical":[108],"barriers":[109],"reviewed":[111],"works.":[112],"allows":[115],"readers":[117],"to":[118],"gain":[119],"profound":[120],"knowledge":[121],"regarding":[122],"promoting":[126],"extensive":[127],"research":[128],"this":[130],"field.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
