{"id":"https://openalex.org/W4406457691","doi":"https://doi.org/10.1109/access.2025.3530840","title":"XAI-Enhanced Machine Learning for Obesity Risk Classification: A Stacking Approach With LIME Explanations","display_name":"XAI-Enhanced Machine Learning for Obesity Risk Classification: A Stacking Approach With LIME Explanations","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406457691","doi":"https://doi.org/10.1109/access.2025.3530840"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3530840","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3530840","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.2025.3530840","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004783243","display_name":"Mohammad Azad","orcid":"https://orcid.org/0000-0001-9851-1420"},"institutions":[{"id":"https://openalex.org/I199702508","display_name":"Jouf University","ror":"https://ror.org/02zsyt821","country_code":"SA","type":"education","lineage":["https://openalex.org/I199702508"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mohammad Azad","raw_affiliation_strings":["Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-9851-1420","affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia","institution_ids":["https://openalex.org/I199702508"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Md Faraz Kabir Khan","orcid":"https://orcid.org/0009-0006-6621-2702"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Md Faraz Kabir Khan","raw_affiliation_strings":["Department of Computer Science and Software Engineering, The University of Western Australia, Perth, Australia","Department of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Perth, WA, Australia"],"raw_orcid":"https://orcid.org/0009-0006-6621-2702","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, The University of Western Australia, Perth, Australia","institution_ids":["https://openalex.org/I177877127"]},{"raw_affiliation_string":"Department of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Perth, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115904410","display_name":"Sameh Abd El-Ghany","orcid":"https://orcid.org/0000-0002-5903-3048"},"institutions":[{"id":"https://openalex.org/I199702508","display_name":"Jouf University","ror":"https://ror.org/02zsyt821","country_code":"SA","type":"education","lineage":["https://openalex.org/I199702508"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Sameh Abd El-Ghany","raw_affiliation_strings":["Department of Information Systems, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-5903-3048","affiliations":[{"raw_affiliation_string":"Department of Information Systems, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia","institution_ids":["https://openalex.org/I199702508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":19.6518,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.99183279,"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":"13847","last_page":"13865"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.65420001745224,"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":0.65420001745224,"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":0.6504999995231628,"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/stacking","display_name":"Stacking","score":0.7676289081573486},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6203489899635315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5101735591888428},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4354691505432129},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09580826759338379},{"id":"https://openalex.org/keywords/nuclear-magnetic-resonance","display_name":"Nuclear magnetic resonance","score":0.06965014338493347}],"concepts":[{"id":"https://openalex.org/C33347731","wikidata":"https://www.wikidata.org/wiki/Q285210","display_name":"Stacking","level":2,"score":0.7676289081573486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6203489899635315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5101735591888428},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4354691505432129},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09580826759338379},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.06965014338493347}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2025.3530840","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3530840","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:pure.atira.dk:openaire/0bae5cfd-9852-4a15-9d9d-b30014d0d92c","is_oa":true,"landing_page_url":"https://research-repository.uwa.edu.au/en/publications/0bae5cfd-9852-4a15-9d9d-b30014d0d92c","pdf_url":null,"source":{"id":"https://openalex.org/S4306402492","display_name":"UWA Profiles and Research Repository (UWA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Azad, M, Khan, M F K & El-Ghany, S A 2025, 'XAI-Enhanced Machine Learning for Obesity Risk Classification : A Stacking Approach with LIME Explanations', IEEE Access, vol. 13, pp. 13847 - 13865. https://doi.org/10.1109/ACCESS.2025.3530840","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:68fc459823514d85bed536ee4e429951","is_oa":true,"landing_page_url":"https://doaj.org/article/68fc459823514d85bed536ee4e429951","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 13847-13865 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3530840","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3530840","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":[{"display_name":"Zero hunger","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G5512619406","display_name":null,"funder_award_id":"DGSSR-2023-02-02432","funder_id":"https://openalex.org/F4320324554","funder_display_name":"Al Jouf University"}],"funders":[{"id":"https://openalex.org/F4320324554","display_name":"Al Jouf University","ror":"https://ror.org/02zsyt821"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1667965372","https://openalex.org/W2038419240","https://openalex.org/W2118338190","https://openalex.org/W2400551271","https://openalex.org/W2414258914","https://openalex.org/W2773493351","https://openalex.org/W2886784931","https://openalex.org/W2955975957","https://openalex.org/W2964461202","https://openalex.org/W3005455537","https://openalex.org/W3175812218","https://openalex.org/W3188035648","https://openalex.org/W3210026686","https://openalex.org/W4220889355","https://openalex.org/W4297225617","https://openalex.org/W4304701240","https://openalex.org/W4310769143","https://openalex.org/W4315750489","https://openalex.org/W4366158342","https://openalex.org/W4385636678","https://openalex.org/W4388728345","https://openalex.org/W6732284387","https://openalex.org/W6745609711","https://openalex.org/W6790991083"],"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":{"Obesity":[0],"remains":[1],"a":[2,47,106,153,167],"critical":[3],"global":[4],"health":[5],"challenge,":[6],"necessitating":[7],"early":[8],"risk":[9],"assessment":[10],"to":[11,33,58,200],"guide":[12],"preventive":[13],"measures":[14],"and":[15,63,80,96,126,132,149,204,211],"mitigate":[16],"potential":[17],"complications.":[18],"While":[19],"various":[20],"research":[21],"endeavors":[22],"have":[23],"explored":[24],"obesity":[25,61,194],"classification,":[26],"many":[27],"existing":[28,174],"approaches":[29],"lack":[30],"reliability":[31],"due":[32],"limited":[34],"integration":[35],"with":[36],"explainable":[37],"artificial":[38],"intelligence":[39],"(XAI)":[40,56],"methodologies.":[41],"In":[42],"this":[43],"study,":[44],"we":[45,151,179],"propose":[46],"robust":[48],"machine":[49],"learning":[50],"framework":[51,165],"that":[52],"incorporates":[53],"Explainable":[54],"AI":[55],"principles":[57],"accurately":[59],"estimate":[60],"levels":[62],"provide":[64,187],"insights":[65,189],"into":[66,190],"the":[67,70,74,84,110,114,121,127,133,142,191,206],"factors":[68,192],"influencing":[69],"predictions.":[71],"We":[72],"utilize":[73],"publicly":[75],"available":[76,82],"dataset":[77],"from":[78],"Palechor":[79],"Manotas":[81],"in":[83],"UCI":[85],"ML":[86],"repository":[87],"which":[88],"contains":[89],"relevant":[90],"information":[91],"on":[92],"individuals\u2019":[93],"physical":[94],"characteristics":[95],"behaviors.":[97],"Our":[98,163],"proposed":[99,164],"model":[100,147,183,209],"employs":[101],"an":[102],"ensemble":[103],"approach,":[104],"specifically":[105],"stacking":[107],"algorithm,":[108],"where":[109],"base":[111],"estimators":[112],"include":[113],"Light":[115],"Gradient":[116,135],"Boosting":[117],"Machine":[118],"(LGBM)":[119],"classifier,":[120,125],"Logistic":[122],"Regression":[123],"(LR)":[124],"Random":[128],"Forest":[129],"(RF)":[130],"Classifier,":[131],"Stochastic":[134],"Descent":[136],"(SGD)":[137],"classifier":[138],"is":[139],"selected":[140],"as":[141],"final":[143],"estimator.":[144],"To":[145],"enhance":[146,182],"interpretability":[148],"reliability,":[150],"integrate":[152],"widely":[154],"accepted":[155],"XAI":[156],"method,":[157],"Local":[158],"Interpretable":[159],"Model-agnostic":[160],"Explanations":[161],"(LIME).":[162],"achieves":[166],"peak":[168],"accuracy":[169],"of":[170],"98.82%,":[171],"surpassing":[172],"most":[173],"techniques.":[175],"By":[176],"incorporating":[177],"LIME,":[178],"not":[180],"only":[181],"trustworthiness":[184],"but":[185],"also":[186],"deeper":[188],"driving":[193],"risk.":[195],"Overall,":[196],"our":[197],"approach":[198],"contributes":[199],"advancing":[201],"personalized":[202],"interventions":[203],"bridging":[205],"gap":[207],"between":[208],"complexity":[210],"human":[212],"understanding.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":8}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
