{"id":"https://openalex.org/W4408145133","doi":"https://doi.org/10.1109/access.2025.3547343","title":"Federated Explainable AI-Based Alzheimer\u2019s Disease Prediction With Multimodal Data","display_name":"Federated Explainable AI-Based Alzheimer\u2019s Disease Prediction With Multimodal Data","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408145133","doi":"https://doi.org/10.1109/access.2025.3547343"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3547343","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3547343","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3547343","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010018773","display_name":"Sobhana Jahan","orcid":"https://orcid.org/0000-0003-4882-4327"},"institutions":[{"id":"https://openalex.org/I96426537","display_name":"Bangladesh University of Professionals","ror":"https://ror.org/01zphyp78","country_code":"BD","type":"education","lineage":["https://openalex.org/I96426537"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Sobhana Jahan","raw_affiliation_strings":["Department of Computer Science and Engineering, Bangladesh University of Professionals, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0003-4882-4327","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bangladesh University of Professionals, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I96426537"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011848671","display_name":"Md. Rawnak Saif Adib","orcid":"https://orcid.org/0009-0002-9357-8436"},"institutions":[{"id":"https://openalex.org/I4210132231","display_name":"International University of Business Agriculture and Technology","ror":"https://ror.org/02m32cr13","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210132231"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Rawnak Saif Adib","raw_affiliation_strings":["Department of Computer Science and Engineering, International University of Business Agriculture and Technology, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0002-9357-8436","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, International University of Business Agriculture and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I4210132231"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Syed Mahmudul Huda","orcid":"https://orcid.org/0009-0000-6116-1551"},"institutions":[{"id":"https://openalex.org/I4210155978","display_name":"Pivotal Labs","ror":"https://ror.org/04hjf5k52","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155978"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Syed Mahmudul Huda","raw_affiliation_strings":["SuperAnnotate AI, San Francisco, CA, USA","Quality Control Specialist, SuperAnnotate AI, San Francisco, California, USA"],"raw_orcid":"https://orcid.org/0009-0000-6116-1551","affiliations":[{"raw_affiliation_string":"SuperAnnotate AI, San Francisco, CA, USA","institution_ids":["https://openalex.org/I4210155978"]},{"raw_affiliation_string":"Quality Control Specialist, SuperAnnotate AI, San Francisco, California, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006587638","display_name":"Md. Sazzadur Rahman","orcid":"https://orcid.org/0000-0002-9178-3711"},"institutions":[{"id":"https://openalex.org/I46080048","display_name":"Jahangirnagar University","ror":"https://ror.org/04ywb0864","country_code":"BD","type":"education","lineage":["https://openalex.org/I46080048"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Sazzadur Rahman","raw_affiliation_strings":["Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0002-9178-3711","affiliations":[{"raw_affiliation_string":"Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I46080048"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057247142","display_name":"M. Shamim Kaiser","orcid":"https://orcid.org/0000-0002-4604-5461"},"institutions":[{"id":"https://openalex.org/I46080048","display_name":"Jahangirnagar University","ror":"https://ror.org/04ywb0864","country_code":"BD","type":"education","lineage":["https://openalex.org/I46080048"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"M. Shamim Kaiser","raw_affiliation_strings":["Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0002-4604-5461","affiliations":[{"raw_affiliation_string":"Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I46080048"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039038612","display_name":"A. S. M. Sanwar Hosen","orcid":"https://orcid.org/0000-0003-0934-0995"},"institutions":[{"id":"https://openalex.org/I85389745","display_name":"Woosong University","ror":"https://ror.org/02srty072","country_code":"KR","type":"education","lineage":["https://openalex.org/I85389745"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"A. S. M. Sanwar Hosen","raw_affiliation_strings":["Department of Artificial Intelligence and Big Data, Woosong University, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-0934-0995","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Big Data, Woosong University, Daejeon, South Korea","institution_ids":["https://openalex.org/I85389745"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080116943","display_name":"Deepak Ghimire","orcid":"https://orcid.org/0000-0001-8940-8739"},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Deepak Ghimire","raw_affiliation_strings":["IT Application Research Center, Korea Electronics Technology Institute, Jeonju-si, Republic of Korea","IT Application Research Center, Korea Electronics Technology Institute, Jeonju, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-8940-8739","affiliations":[{"raw_affiliation_string":"IT Application Research Center, Korea Electronics Technology Institute, Jeonju-si, Republic of Korea","institution_ids":["https://openalex.org/I4210131650"]},{"raw_affiliation_string":"IT Application Research Center, Korea Electronics Technology Institute, Jeonju, Republic of Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033886620","display_name":"Mi Jin Park","orcid":"https://orcid.org/0000-0002-7748-3886"},"institutions":[{"id":"https://openalex.org/I4210160144","display_name":"The Catholic University of Korea Seoul St. Mary's Hospital","ror":"https://ror.org/056cn0e37","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I4210160144","https://openalex.org/I4405260414","https://openalex.org/I87111246"]},{"id":"https://openalex.org/I87111246","display_name":"Catholic University of Korea","ror":"https://ror.org/01fpnj063","country_code":"KR","type":"education","lineage":["https://openalex.org/I87111246"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Mi Jin Park","raw_affiliation_strings":["Department of Psychiatry, Seoul St. Mary&#x2019;s Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea","Department of Psychiatry, Seoul St Mary&#x2019;s Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychiatry, Seoul St. Mary&#x2019;s Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea","institution_ids":["https://openalex.org/I4210160144"]},{"raw_affiliation_string":"Department of Psychiatry, Seoul St Mary&#x2019;s Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea","institution_ids":["https://openalex.org/I4210160144","https://openalex.org/I87111246"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":34.6397,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.99709854,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"13","issue":null,"first_page":"43435","last_page":"43454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.8428000211715698,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.8428000211715698,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.7530999779701233,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7176503539085388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4716184437274933},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37051141262054443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7176503539085388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4716184437274933},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37051141262054443}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3547343","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3547343","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f21ef69d0b6f4660b750f46c3d1e4aee","is_oa":true,"landing_page_url":"https://doaj.org/article/f21ef69d0b6f4660b750f46c3d1e4aee","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 43435-43454 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3547343","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3547343","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3980917092","display_name":null,"funder_award_id":"HR22C160504","funder_id":"https://openalex.org/F4320322107","funder_display_name":"Korea Health Industry Development Institute"},{"id":"https://openalex.org/G7630455310","display_name":null,"funder_award_id":"P0017123","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"}],"funders":[{"id":"https://openalex.org/F4320321311","display_name":"Woosong University","ror":"https://ror.org/02srty072"},{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322107","display_name":"Korea Health Industry Development Institute","ror":"https://ror.org/00fdzyk40"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1804731458","https://openalex.org/W2916677905","https://openalex.org/W2954731391","https://openalex.org/W2965717703","https://openalex.org/W3112944714","https://openalex.org/W3112948680","https://openalex.org/W3182546273","https://openalex.org/W3216065183","https://openalex.org/W4214898695","https://openalex.org/W4312409177","https://openalex.org/W4320025237","https://openalex.org/W4379118197","https://openalex.org/W4380077983","https://openalex.org/W4385453535","https://openalex.org/W4386639951","https://openalex.org/W4388019189","https://openalex.org/W4388728345","https://openalex.org/W4392008223","https://openalex.org/W4392305459","https://openalex.org/W4392558696","https://openalex.org/W4392844919","https://openalex.org/W4399121468","https://openalex.org/W4401132108","https://openalex.org/W4402159025","https://openalex.org/W4403488049","https://openalex.org/W4405093450","https://openalex.org/W4405968357","https://openalex.org/W6772352366"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Alzheimer\u2019s":[0],"Disease":[1],"(AD)":[2],"is":[3,15,64,71,115,128,167],"a":[4,72,264,281,307,313],"progressive":[5],"neurological":[6],"disease":[7],"that":[8,47,182,306],"severely":[9],"impairs":[10],"cognitive":[11],"function.":[12],"Early":[13],"detection":[14,32,283],"critical":[16],"for":[17,239,285],"effective":[18,57],"treatment":[19],"and":[20,33,62,92,146,148,194,206,221,236,256,293,299],"management.":[21],"Machine":[22],"Learning":[23,77],"(ML)":[24],"methods":[25],"are":[26,295],"often":[27],"used":[28,129],"to":[29,96,117,130,151,191,208],"ensure":[30],"early":[31],"prediction.":[34],"However,":[35],"ML":[36,58,166],"has":[37],"various":[38],"issues,":[39,242],"including":[40],"the":[41,50,82,119,153,158,210,214],"data":[42,51,83,90,137,230,271],"island":[43,52,84],"problem.":[44],"The":[45,133,216,287],"fragmentation":[46],"results":[48,249],"from":[49],"problem":[53,85],"makes":[54],"building":[55],"reliable,":[56,235],"models":[59],"more":[60],"complex,":[61],"it":[63,263],"particularly":[65],"problematic":[66],"in":[67,122,189,200,250,259,267],"industries":[68],"where":[69],"privacy":[70,109,272],"concern,":[73],"like":[74],"healthcare.":[75],"Federated":[76],"(FL)":[78],"can":[79],"help":[80],"tackle":[81],"by":[86,203],"keeping":[87],"sensitive":[88],"patient":[89],"decentralized":[91],"enabling":[93,204],"many":[94],"institutions":[95],"work":[97,303],"together":[98],"on":[99],"model":[100,134,187],"training":[101],"without":[102],"exchanging":[103],"raw":[104],"data,":[105,150],"all":[106],"while":[107],"maintaining":[108],"compliance.":[110],"As":[111],"Random":[112],"Forest":[113],"(RF)":[114],"proven":[116],"be":[118],"best-performing":[120],"classifier":[121,127],"this":[123],"research,":[124],"an":[125,232],"RF":[126],"create":[131],"FL.":[132],"incorporates":[135],"multiple":[136,240],"modalities,":[138],"such":[139,243],"as":[140,244],"Magnetic":[141],"Resonance":[142],"Imaging":[143,226],"(MRI)":[144],"segmentation":[145],"clinical":[147],"psychological":[149],"capture":[152],"variety":[154],"of":[155,160,218,225],"characteristics":[156],"influencing":[157],"progress":[159],"AD.":[161,246,286],"Another":[162],"concerning":[163],"issue":[164],"with":[165],"its":[168],"uninterpretable":[169],"character.":[170],"We":[171],"use":[172],"SHapley":[173],"Additive":[174],"exPlanations":[175],"(SHAP)":[176],"Explainable":[177],"Artificial":[178],"Intelligence":[179],"(XAI)":[180],"techniques":[181],"emphasize":[183],"important":[184],"factors":[185],"impacting":[186],"decisions":[188],"order":[190],"improve":[192],"predictability":[193],"transparency.":[195],"This":[196,247,302],"explainability":[197],"promotes":[198],"confidence":[199,258],"AI-based":[201],"diagnoses":[202],"researchers":[205],"physicians":[207],"comprehend":[209],"underlying":[211],"mechanisms":[212],"guiding":[213],"predictions.":[215],"combination":[217],"XAI,":[219],"FL,":[220],"Open":[222],"Access":[223],"Series":[224],"Studies":[227],"(OASIS-3)":[228],"Multimodal":[229],"offers":[231],"interpretable,":[233],"scalable,":[234],"privacy-centered":[237],"solution":[238],"complex":[241],"predicting":[245],"approach":[248],"better":[251,311],"diagnosis":[252],"precision,":[253],"greater":[254],"security,":[255],"increased":[257],"AI":[260],"technologies,":[261],"making":[262],"novel":[265],"methodology":[266],"medical":[268],"sciences.":[269],"With":[270],"maintained,":[273],"our":[274],"method":[275],"produces":[276],"98.93%":[277],"accurate":[278],"predictions,":[279],"providing":[280],"solid":[282],"strategy":[284],"suggested":[288],"approach\u2019s":[289],"F1-score,":[290],"Precision,":[291],"Recall,":[292],"AUC":[294],"98.93%,":[296,298],"98.94%,":[297],"99.97%,":[300],"respectively.":[301],"also":[304],"shows":[305],"multimodal":[308],"dataset":[309],"performs":[310],"than":[312],"single":[314],"modal":[315],"dataset.":[316]},"counts_by_year":[{"year":2026,"cited_by_count":19},{"year":2025,"cited_by_count":12}],"updated_date":"2026-08-13T07:04:57.449891","created_date":"2025-03-05T00:00:00"}
