{"id":"https://openalex.org/W7117408931","doi":"https://doi.org/10.1007/s44196-025-01127-5","title":"Hospital Admission Classification of Cardiac Patients Utilizing Metaheuristics-Optimized Two Tier Framework","display_name":"Hospital Admission Classification of Cardiac Patients Utilizing Metaheuristics-Optimized Two Tier Framework","publication_year":2025,"publication_date":"2025-12-28","ids":{"openalex":"https://openalex.org/W7117408931","doi":"https://doi.org/10.1007/s44196-025-01127-5"},"language":"en","primary_location":{"id":"doi:10.1007/s44196-025-01127-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-025-01127-5","pdf_url":null,"source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s44196-025-01127-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121436861","display_name":"Petar Dabic","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117118","display_name":"Institute for Cardiovascular Diseases of Vojvodina","ror":"https://ror.org/025y6ny17","country_code":"RS","type":"healthcare","lineage":["https://openalex.org/I4210117118"]}],"countries":["RS"],"is_corresponding":true,"raw_author_name":"Petar Dabic","raw_affiliation_strings":["Institute for Cardiovascular Diseases Dedinje, Heroja Milana Tepica 1, Belgrade, 11000, Serbia"],"affiliations":[{"raw_affiliation_string":"Institute for Cardiovascular Diseases Dedinje, Heroja Milana Tepica 1, Belgrade, 11000, Serbia","institution_ids":["https://openalex.org/I4210117118"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121438957","display_name":"Jovan Petrovic","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117118","display_name":"Institute for Cardiovascular Diseases of Vojvodina","ror":"https://ror.org/025y6ny17","country_code":"RS","type":"healthcare","lineage":["https://openalex.org/I4210117118"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Jovan Petrovic","raw_affiliation_strings":["Institute for Cardiovascular Diseases Dedinje, Heroja Milana Tepica 1, Belgrade, 11000, Serbia"],"affiliations":[{"raw_affiliation_string":"Institute for Cardiovascular Diseases Dedinje, Heroja Milana Tepica 1, Belgrade, 11000, Serbia","institution_ids":["https://openalex.org/I4210117118"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072469505","display_name":"Miodrag \u017divkovi\u0107","orcid":"https://orcid.org/0000-0002-4351-068X"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Miodrag Zivkovic","raw_affiliation_strings":["Faculty of Informatics and Computing, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics and Computing, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia","institution_ids":["https://openalex.org/I170253739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056758186","display_name":"Tamara \u017divkovi\u0107","orcid":"https://orcid.org/0000-0003-2969-1709"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Tamara Zivkovic","raw_affiliation_strings":["Faculty of Informatics and Computing, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics and Computing, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia","institution_ids":["https://openalex.org/I170253739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011658703","display_name":"Vladimir \u0160imi\u0107","orcid":"https://orcid.org/0000-0001-5709-3744"},"institutions":[{"id":"https://openalex.org/I83579964","display_name":"Sz\u00e9chenyi Istv\u00e1n University","ror":"https://ror.org/04091f946","country_code":"HU","type":"education","lineage":["https://openalex.org/I83579964"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Vladimir Simic","raw_affiliation_strings":["Sz\u00e9chenyi Istv\u00e1n University, Egyetem t\u00e9r 1, Gy\u0151r, 9026, Hungary"],"affiliations":[{"raw_affiliation_string":"Sz\u00e9chenyi Istv\u00e1n University, Egyetem t\u00e9r 1, Gy\u0151r, 9026, Hungary","institution_ids":["https://openalex.org/I83579964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121436039","display_name":"Dragan Pamucar","orcid":null},"institutions":[{"id":"https://openalex.org/I129994210","display_name":"Do\u011fu\u015f University","ror":"https://ror.org/0272rjm42","country_code":"TR","type":"education","lineage":["https://openalex.org/I129994210"]},{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]},{"id":"https://openalex.org/I4210124601","display_name":"Department of Mathematical Sciences","ror":"https://ror.org/02xkdev90","country_code":"RU","type":"government","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210124601"]}],"countries":["RU","TR","TW"],"is_corresponding":false,"raw_author_name":"Dragan Pamucar","raw_affiliation_strings":["College of Engineering, Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan City, 320315, Taiwan","Department of Applied Mathematical Science, College of Science and Technology, Korea University, Sejong, 30019, Republic of Korea","Faculty of Engineering, Do\u011fu\u015f University, 34775, Umraniye, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan City, 320315, Taiwan","institution_ids":["https://openalex.org/I99908691"]},{"raw_affiliation_string":"Department of Applied Mathematical Science, College of Science and Technology, Korea University, Sejong, 30019, Republic of Korea","institution_ids":["https://openalex.org/I4210124601"]},{"raw_affiliation_string":"Faculty of Engineering, Do\u011fu\u015f University, 34775, Umraniye, Istanbul, Turkey","institution_ids":["https://openalex.org/I129994210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064706748","display_name":"Milo\u0161 Dobrojevi\u0107","orcid":"https://orcid.org/0000-0003-3798-312X"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Milos Dobrojevic","raw_affiliation_strings":["Faculty of Informatics and Computing, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics and Computing, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia","institution_ids":["https://openalex.org/I170253739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120937720","display_name":"Nebojsa Bacanin","orcid":null},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]},{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN","RS"],"is_corresponding":false,"raw_author_name":"Nebojsa Bacanin","raw_affiliation_strings":["Faculty of Informatics and Computing, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia","Saveetha School of Engineering, SIMATS, Thandalam, Chennai, Tamilnadu, 602105, India"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics and Computing, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia","institution_ids":["https://openalex.org/I170253739"]},{"raw_affiliation_string":"Saveetha School of Engineering, SIMATS, Thandalam, Chennai, Tamilnadu, 602105, India","institution_ids":["https://openalex.org/I85461943"]}]}],"institutions":[],"countries_distinct_count":6,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5121436861"],"corresponding_institution_ids":["https://openalex.org/I4210117118"],"apc_list":{"value":1390,"currency":"GBP","value_usd":1704},"apc_paid":{"value":1390,"currency":"GBP","value_usd":1704},"fwci":2.671,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.94041825,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"19","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.2240999937057495,"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":0.2240999937057495,"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/T10198","display_name":"Heart Failure Treatment and Management","score":0.16449999809265137,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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":0.09929999709129333,"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/triage","display_name":"Triage","score":0.6980000138282776},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.6676999926567078},{"id":"https://openalex.org/keywords/hospital-admission","display_name":"Hospital admission","score":0.6266999840736389},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5396999716758728},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49129998683929443},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.4690999984741211},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4609000086784363},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4544000029563904}],"concepts":[{"id":"https://openalex.org/C2777120189","wikidata":"https://www.wikidata.org/wiki/Q780067","display_name":"Triage","level":2,"score":0.6980000138282776},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.6676999926567078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.637499988079071},{"id":"https://openalex.org/C3019871722","wikidata":"https://www.wikidata.org/wiki/Q718944","display_name":"Hospital admission","level":2,"score":0.6266999840736389},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5396999716758728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5180000066757202},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49380001425743103},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49129998683929443},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.4690999984741211},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4609000086784363},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4544000029563904},{"id":"https://openalex.org/C2778234956","wikidata":"https://www.wikidata.org/wiki/Q4683813","display_name":"Admission control","level":3,"score":0.38089999556541443},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3630000054836273},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.33009999990463257},{"id":"https://openalex.org/C2987404301","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.31380000710487366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30790001153945923},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.3012000024318695},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C2780724011","wikidata":"https://www.wikidata.org/wiki/Q1295316","display_name":"Emergency department","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C2779861157","wikidata":"https://www.wikidata.org/wiki/Q5154967","display_name":"Community hospital","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44196-025-01127-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-025-01127-5","pdf_url":null,"source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:78855f8e660b4f378f3f40008c4c1c4f","is_oa":true,"landing_page_url":"https://doaj.org/article/78855f8e660b4f378f3f40008c4c1c4f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computational Intelligence Systems, Vol 19, Iss 1, Pp 1-36 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44196-025-01127-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-025-01127-5","pdf_url":null,"source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W964460774","https://openalex.org/W1678356000","https://openalex.org/W1898928487","https://openalex.org/W1968969471","https://openalex.org/W2008056655","https://openalex.org/W2010334716","https://openalex.org/W2014224402","https://openalex.org/W2043845271","https://openalex.org/W2049847728","https://openalex.org/W2070493638","https://openalex.org/W2089659963","https://openalex.org/W2109553965","https://openalex.org/W2120261681","https://openalex.org/W2131302168","https://openalex.org/W2140448605","https://openalex.org/W2143560894","https://openalex.org/W2147800735","https://openalex.org/W2149848331","https://openalex.org/W2151554678","https://openalex.org/W2152195021","https://openalex.org/W2295598076","https://openalex.org/W2543580944","https://openalex.org/W2738900493","https://openalex.org/W2789894922","https://openalex.org/W2796986051","https://openalex.org/W2911964244","https://openalex.org/W2950148398","https://openalex.org/W2995725404","https://openalex.org/W2999615587","https://openalex.org/W3005648791","https://openalex.org/W3041513237","https://openalex.org/W3083112738","https://openalex.org/W3112739615","https://openalex.org/W3137256784","https://openalex.org/W3194627252","https://openalex.org/W4206163452","https://openalex.org/W4206314532","https://openalex.org/W4225326659","https://openalex.org/W4233415207","https://openalex.org/W4249545506","https://openalex.org/W4304185386","https://openalex.org/W4315498630","https://openalex.org/W4318541570","https://openalex.org/W4362585988","https://openalex.org/W4366276659","https://openalex.org/W4378228622","https://openalex.org/W4378718546","https://openalex.org/W4384693236","https://openalex.org/W4385798333","https://openalex.org/W4394635009","https://openalex.org/W4396805572","https://openalex.org/W4399435690","https://openalex.org/W4401116105","https://openalex.org/W4401483612","https://openalex.org/W4402189371","https://openalex.org/W4402375165","https://openalex.org/W4402636376","https://openalex.org/W4404994138","https://openalex.org/W4406892095","https://openalex.org/W4407614889","https://openalex.org/W4408295981","https://openalex.org/W4408411442","https://openalex.org/W4410415966","https://openalex.org/W4411121141","https://openalex.org/W4412477498"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"evaluation":[1,111],"of":[2,10,31,155,181],"a":[3,29,39,44,54,100,113,123,151],"cardiac":[4,40,135,182],"patient\u2019s":[5],"risk":[6],"at":[7],"the":[8,119,147,178],"point":[9],"hospital":[11,106,115,127],"entry":[12],"is":[13],"critical":[14],"for":[15,104,133],"efficient":[16],"triage":[17],"and":[18,46,74,95,176],"ensuring":[19],"timely,":[20],"suitable":[21],"medical":[22],"intervention.":[23],"This":[24,51],"study":[25],"aims":[26],"to":[27,84,163],"forecast":[28],"range":[30],"clinical":[32],"outcomes":[33],"by":[34],"leveraging":[35],"admission":[36,107,116,128],"data":[37,174],"from":[38],"care":[41],"unit,":[42],"utilizing":[43],"refined":[45],"optimized":[47],"machine":[48,65,72],"learning":[49,66],"approach.":[50],"research":[52],"introduces":[53],"hybrid":[55],"architecture":[56],"that":[57,170],"integrates":[58],"convolutional":[59],"neural":[60],"networks":[61],"(CNNs)":[62],"with":[63],"advanced":[64],"classifiers,":[67],"namely":[68],"light":[69],"gradient":[70],"boosting":[71,76],"(LightGBM)":[73],"categorical":[75],"(CatBoost),":[77],"further":[78],"enhanced":[79],"through":[80],"metaheuristic":[81],"optimization":[82],"techniques":[83,160],"maximize":[85],"their":[86],"performance.":[87],"The":[88],"proposed":[89],"two-tiered":[90],"design":[91],"organizes":[92],"feature":[93],"extraction":[94],"final":[96],"decision":[97],"modeling":[98],"into":[99],"coherent":[101],"pipeline":[102],"tailored":[103],"multi-class":[105,134],"classification.":[108],"A":[109],"comprehensive":[110],"using":[112,142],"real-world":[114],"dataset":[117],"demonstrates":[118],"framework\u2019s":[120],"effectiveness":[121],"on":[122],"real-world,":[124],"publicly":[125,143],"available":[126,144],"dataset,":[129],"supporting":[130],"its":[131],"utility":[132],"outcome":[136],"prediction.":[137],"Three":[138],"experiments":[139],"were":[140,161],"conducted":[141],"datasets,":[145],"where":[146],"best-performing":[148],"models":[149],"achieved":[150],"peak":[152],"classification":[153,180],"accuracy":[154],"99.79%.":[156],"Furthermore,":[157],"explainable":[158],"AI":[159],"employed":[162],"interpret":[164],"model":[165],"predictions,":[166],"offering":[167],"actionable":[168],"insights":[169],"can":[171],"guide":[172],"future":[173],"acquisition":[175],"strengthen":[177],"accurate":[179],"patients.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-12-28T00:00:00"}