{"id":"https://openalex.org/W7202201013","doi":"https://doi.org/10.2174/0126662558474697260724002818","title":"UniBlendPredictor: A Stability-Aware Explainable Hybrid Ensemble Framework for Breast Cancer Diagnosis with Rule-Based Clinical Decision Support and a Prototype Gemini-Enabled Explanation Layer","display_name":"UniBlendPredictor: A Stability-Aware Explainable Hybrid Ensemble Framework for Breast Cancer Diagnosis with Rule-Based Clinical Decision Support and a Prototype Gemini-Enabled Explanation Layer","publication_year":2026,"publication_date":"2026-07-30","ids":{"openalex":"https://openalex.org/W7202201013","doi":"https://doi.org/10.2174/0126662558474697260724002818"},"language":"en","primary_location":{"id":"doi:10.2174/0126662558474697260724002818","doi":"https://doi.org/10.2174/0126662558474697260724002818","is_oa":false,"landing_page_url":"https://doi.org/10.2174/0126662558474697260724002818","pdf_url":null,"source":{"id":"https://openalex.org/S4210235671","display_name":"Recent Advances in Computer Science and Communications","issn_l":"1874-4796","issn":["1874-4796","2213-2759","2666-2558","2666-2566"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Recent Advances in Computer Science and Communications","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5146470170","display_name":"Khemraj Dhunput","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I56592726","display_name":"University of Technology, Mauritius","ror":"https://ror.org/030111688","country_code":"MU","type":"education","lineage":["https://openalex.org/I56592726"]}],"countries":["MU"],"is_corresponding":true,"raw_author_name":"Khemraj Dhunput","raw_affiliation_strings":["University of Technology, Mauritius (UTM), Pointe-aux-Sables, Port Louis, Mauritius"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology, Mauritius (UTM), Pointe-aux-Sables, Port Louis, Mauritius","institution_ids":["https://openalex.org/I56592726"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005124415","display_name":"Shireen Panchoo","orcid":"https://orcid.org/0009-0009-4846-5724","observed_orcids":["https://orcid.org/0009-0009-4846-5724"]},"institutions":[{"id":"https://openalex.org/I56592726","display_name":"University of Technology, Mauritius","ror":"https://ror.org/030111688","country_code":"MU","type":"education","lineage":["https://openalex.org/I56592726"]}],"countries":["MU"],"is_corresponding":false,"raw_author_name":"Shireen Panchoo","raw_affiliation_strings":["School of Innovative Technologies & Engineering (SITE), University of Technology, Mauritius (UTM),Pointe-aux-Sables, Port Louis, Mauritius"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Innovative Technologies & Engineering (SITE), University of Technology, Mauritius (UTM),Pointe-aux-Sables, Port Louis, Mauritius","institution_ids":["https://openalex.org/I56592726"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5146523289","display_name":"Saraswati Dhunput","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I56592726","display_name":"University of Technology, Mauritius","ror":"https://ror.org/030111688","country_code":"MU","type":"education","lineage":["https://openalex.org/I56592726"]}],"countries":["MU"],"is_corresponding":false,"raw_author_name":"Saraswati Dhunput","raw_affiliation_strings":["University of Technology, Mauritius (UTM), Pointe-aux-Sables, Port Louis, Mauritius"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology, Mauritius (UTM), Pointe-aux-Sables, Port Louis, Mauritius","institution_ids":["https://openalex.org/I56592726"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5146470170"],"corresponding_institution_ids":["https://openalex.org/I56592726"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.50603896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9193999767303467,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9193999767303467,"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":0.0738999992609024,"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/T10862","display_name":"AI in cancer detection","score":0.004900000058114529,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/breast-cancer-diagnosis","display_name":"breast cancer diagnosis","score":0.9980000257492065},{"id":"https://openalex.org/keywords/hybrid-ensemble-learning","display_name":"hybrid ensemble learning","score":0.8489999771118164},{"id":"https://openalex.org/keywords/stacking-ensemble","display_name":"stacking ensemble","score":0.7080000042915344},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.8370000123977661},{"id":"https://openalex.org/keywords/shap","display_name":"SHAP","score":0.9769999980926514},{"id":"https://openalex.org/keywords/lime","display_name":"lime","score":1.0},{"id":"https://openalex.org/keywords/model-stability","display_name":"model stability","score":0.6579999923706055},{"id":"https://openalex.org/keywords/bootstrap-confidence-intervals","display_name":"bootstrap confidence intervals","score":0.8690000176429749},{"id":"https://openalex.org/keywords/natural-language-explanations","display_name":"natural language explanations","score":0.777999997138977},{"id":"https://openalex.org/keywords/interpretability","display_name":"interpretability","score":0.4490000009536743}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7753999829292297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6274999976158142},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5612000226974487},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.526199996471405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5203999876976013},{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.4722999930381775},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.46470001339912415},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.460999995470047},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4253999888896942},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.41029998660087585},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.39739999175071716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34380000829696655},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.3257000148296356},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.31769999861717224},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.27320000529289246},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C82157600","wikidata":"https://www.wikidata.org/wiki/Q2671652","display_name":"Diagnostic test","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.25029999017715454},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2174/0126662558474697260724002818","doi":"https://doi.org/10.2174/0126662558474697260724002818","is_oa":false,"landing_page_url":"https://doi.org/10.2174/0126662558474697260724002818","pdf_url":null,"source":{"id":"https://openalex.org/S4210235671","display_name":"Recent Advances in Computer Science and Communications","issn_l":"1874-4796","issn":["1874-4796","2213-2759","2666-2558","2666-2566"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1","poland-20","russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Recent Advances in Computer Science and Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8371999859809875}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7221749218","https://openalex.org/W7164357634","https://openalex.org/W7130655286","https://openalex.org/W7169776869","https://openalex.org/W4412346570","https://openalex.org/W4400730982","https://openalex.org/W7214932018","https://openalex.org/W7164679157","https://openalex.org/W4295064767","https://openalex.org/W4416937324"],"abstract_inverted_index":{"Introduction:":[0],"Artificial":[1],"intelligence":[2],"(AI)":[3],"is":[4,258],"increasingly":[5],"being":[6],"explored":[7],"in":[8,138,240],"clinical":[9,111,205],"decision":[10,280],"support,":[11],"creating":[12],"a":[13,34,70,124,264,285],"need":[14],"for":[15,40,287,294],"diagnostic":[16,220],"models":[17,233],"that":[18,198,263],"are":[19],"not":[20],"only":[21],"accurate":[22],"but":[23],"also":[24,275],"transparent,":[25],"reproducible,":[26],"and":[27,66,79,84,95,153,185,191,203,212,246,279,293],"clinically":[28,176],"interpretable.":[29],"This":[30],"study":[31,283],"presents":[32],"UniBlendPredictor,":[33],"stability-aware":[35],"explainable":[36],"hybrid":[37,58,215,265],"ensemble":[38,72,166,216,266],"framework":[39,55,174,267],"breast":[41,271],"cancer":[42,272],"diagnosis":[43,273],"using":[44,77],"the":[45,57,103,159,164,210,255],"Wisconsin":[46],"Diagnostic":[47],"Breast":[48],"Cancer":[49],"(WDBC)":[50],"dataset.":[51],"Methods:":[52],"The":[53,145,173,195,282],"proposed":[54],"extends":[56],"UniBlend":[59],"architecture":[60],"by":[61],"combining":[62],"stacking,":[63],"soft":[64],"voting,":[65],"hard":[67],"voting":[68],"within":[69],"unified":[71],"design.":[73],"Explainability":[74],"was":[75,114,129],"incorporated":[76],"SHAP":[78],"LIME":[80],"to":[81,101,116,131],"provide":[82,132],"global":[83],"local":[85],"interpretation":[86],"of":[87,105,151,156,183,214,297],"model":[88,106,118,139],"predictions.":[89],"In":[90],"addition,":[91],"bootstrap-based":[92],"confidence":[93],"intervals":[94],"stability-focused":[96],"explanation":[97,127,299],"analysis":[98],"were":[99],"used":[100],"assess":[102],"reproducibility":[104],"outputs.":[107],"A":[108],"deterministic":[109,204],"rule-based":[110],"decision-support":[112,206],"layer":[113,128],"included":[115],"translate":[117],"predictions":[119,217],"into":[120],"structured":[121],"recommendations,":[122],"while":[123,168,274],"prototype":[125],"Gemini-enabled":[126],"implemented":[130],"clinician-oriented":[133,298],"natural-language":[134],"explanations":[135],"without":[136,218],"participating":[137],"training":[140],"or":[141],"predictive":[142],"inference.":[143],"Results:":[144],"optimal":[146],"UniBlendPredictor":[147,261],"achieved":[148],"an":[149,154],"accuracy":[150],"99.12%":[152],"AUC":[155],"0.9977":[157],"on":[158,290],"WDBC":[160],"test":[161],"set,":[162],"outperforming":[163],"individual":[165],"components":[167],"maintaining":[169],"strong":[170,226],"explanatory":[171],"consistency.":[172],"identified":[175],"relevant":[177],"morphological":[178],"features":[179],"as":[180,238],"dominant":[181],"predictors":[182],"malignancy":[184],"demonstrated":[186],"stable":[187],"agreement":[188],"between":[189],"SHAP-":[190],"LIME-based":[192],"explanations.":[193],"Discussion:":[194],"findings":[196],"indicate":[197],"integrating":[199],"explainability,":[200],"uncertainty":[201],"awareness,":[202],"logic":[207],"can":[208,249,268],"improve":[209],"transparency":[211],"interpretability":[213],"compromising":[219],"performance.":[221],"Although":[222],"Uni-":[223],"BlendPredictor":[224],"showed":[225],"performance,":[227],"direct":[228],"comparison":[229],"with":[230],"previously":[231],"published":[232],"should":[234],"be":[235],"interpreted":[236],"cautiously,":[237],"differences":[239],"preprocessing,":[241],"feature":[242],"engineering,":[243],"validation":[244,289],"design,":[245],"experimental":[247],"setup":[248],"influence":[250],"reported":[251],"results":[252],"even":[253],"when":[254],"same":[256],"dataset":[257],"used.":[259],"Conclusion:":[260],"shows":[262],"support":[269],"highperformance":[270],"improving":[276],"interpretability,":[277],"reproducibility,":[278],"transparency.":[281],"provides":[284],"foundation":[286],"future":[288],"broader":[291],"datasets":[292],"further":[295],"development":[296],"workflows.":[300]},"counts_by_year":[],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2026-08-12T00:00:00"}