{"id":"https://openalex.org/W7225310072","doi":"https://doi.org/10.1177/09287329261504681","title":"Optimizing heart disease diagnostics: An evaluation of feature selection frameworks and ensemble learning models","display_name":"Optimizing heart disease diagnostics: An evaluation of feature selection frameworks and ensemble learning models","publication_year":2026,"publication_date":"2026-11-05","ids":{"openalex":"https://openalex.org/W7225310072","doi":"https://doi.org/10.1177/09287329261504681"},"language":"en","primary_location":{"id":"doi:10.1177/09287329261504681","doi":"https://doi.org/10.1177/09287329261504681","is_oa":false,"landing_page_url":"https://doi.org/10.1177/09287329261504681","pdf_url":null,"source":{"id":"https://openalex.org/S2501230301","display_name":"Technology and Health Care","issn_l":"0928-7329","issn":["0928-7329","1878-7401"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","doyens","jufo-1","medline","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technology and Health Care","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/A5025963514","display_name":"Bireswar Dutta","orcid":"https://orcid.org/0000-0003-3509-3676","observed_orcids":["https://orcid.org/0000-0003-3509-3676"]},"institutions":[{"id":"https://openalex.org/I14140830","display_name":"Shih Chien University","ror":"https://ror.org/01c3hyk82","country_code":"TW","type":"education","lineage":["https://openalex.org/I14140830"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Bireswar Dutta","raw_affiliation_strings":["Department of Information Technology and Management, English Taught Program in Smart Service Management, Shih Chien University, Taipei Campus, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology and Management, English Taught Program in Smart Service Management, Shih Chien University, Taipei Campus, Taipei, Taiwan","institution_ids":["https://openalex.org/I14140830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051961925","display_name":"Mei-Hui Peng","orcid":"https://orcid.org/0000-0002-5481-9623","observed_orcids":["https://orcid.org/0000-0002-5481-9623"]},"institutions":[{"id":"https://openalex.org/I143003336","display_name":"Minghsin University of Science and Technology","ror":"https://ror.org/054etzm63","country_code":"TW","type":"education","lineage":["https://openalex.org/I143003336"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Mei-Hui Peng","raw_affiliation_strings":["Institute of Information Management, Minghsin University of Science and Technology, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Management, Minghsin University of Science and Technology, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I143003336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025963514"],"corresponding_institution_ids":["https://openalex.org/I14140830"],"apc_list":{"value":3900,"currency":"USD","value_usd":3900},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":1.0,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cardiovascular-disease-diagnosis","display_name":"cardiovascular disease diagnosis","score":0.8820000290870667},{"id":"https://openalex.org/keywords/heart-disease","display_name":"heart disease","score":0.8119999766349792},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.949999988079071},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"ensemble learning","score":0.8799999952316284},{"id":"https://openalex.org/keywords/lasso","display_name":"LASSO","score":0.8330000042915344},{"id":"https://openalex.org/keywords/mutual-information","display_name":"mutual information","score":0.9319999814033508},{"id":"https://openalex.org/keywords/sequential-forward-selection","display_name":"sequential forward selection","score":0.9769999980926514},{"id":"https://openalex.org/keywords/extra-trees","display_name":"extra trees","score":0.8090000152587891},{"id":"https://openalex.org/keywords/clinical-decision-support","display_name":"clinical decision support","score":0.7429999709129333},{"id":"https://openalex.org/keywords/sex-differences-in-risk-factors","display_name":"sex differences in risk factors","score":0.7250000238418579},{"id":"https://openalex.org/keywords/early-screening","display_name":"early screening","score":0.5669999718666077},{"id":"https://openalex.org/keywords/non-invasive-diagnosis","display_name":"non-invasive diagnosis","score":0.6850000023841858}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7915999889373779},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.7315999865531921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7095999717712402},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6952000260353088},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6784999966621399},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.6179999709129333},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.5623999834060669},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5414999723434448},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4528000056743622},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42730000615119934},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.3955000042915344},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3953000009059906},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.3874000012874603},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3765999972820282},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.34139999747276306},{"id":"https://openalex.org/C2780074459","wikidata":"https://www.wikidata.org/wiki/Q389735","display_name":"Heart disease","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.28859999775886536},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2865999937057495},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/09287329261504681","doi":"https://doi.org/10.1177/09287329261504681","is_oa":false,"landing_page_url":"https://doi.org/10.1177/09287329261504681","pdf_url":null,"source":{"id":"https://openalex.org/S2501230301","display_name":"Technology and Health Care","issn_l":"0928-7329","issn":["0928-7329","1878-7401"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-d","doyens","jufo-1","medline","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technology and Health Care","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":1.0,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2949767632","https://openalex.org/W3104386278","https://openalex.org/W3119162042","https://openalex.org/W3154248386","https://openalex.org/W3161999894","https://openalex.org/W3185516026","https://openalex.org/W3198994498","https://openalex.org/W4226271739","https://openalex.org/W4283660626","https://openalex.org/W4285108805","https://openalex.org/W4285134481","https://openalex.org/W4297486362","https://openalex.org/W4312117583","https://openalex.org/W4319440851","https://openalex.org/W4372269099","https://openalex.org/W4378588589","https://openalex.org/W4385607217","https://openalex.org/W4389176130","https://openalex.org/W4392017654","https://openalex.org/W4396961167","https://openalex.org/W4403044599","https://openalex.org/W4407707614","https://openalex.org/W4408686944","https://openalex.org/W4411725466","https://openalex.org/W7124439155","https://openalex.org/W7160999652","https://openalex.org/W7162852808","https://openalex.org/W7168279324"],"related_works":["https://openalex.org/W4414918228","https://openalex.org/W4409336382","https://openalex.org/W4243329587","https://openalex.org/W7125242381","https://openalex.org/W7204211912","https://openalex.org/W4398206401","https://openalex.org/W4380790487","https://openalex.org/W4282973354","https://openalex.org/W4408718746","https://openalex.org/W4402760983"],"abstract_inverted_index":{"Background":[0],"Cardiovascular":[1],"disease":[2],"(CVD)":[3],"is":[4],"still":[5],"one":[6],"of":[7,11,107,142],"the":[8,16,64,105,108,111,125],"leading":[9],"causes":[10],"death":[12],"worldwide,":[13],"which":[14],"highlights":[15],"need":[17],"for":[18],"accurate":[19],"and":[20,47,79,93,96,104,135,147,153,161,179,188],"automated":[21],"decision-support":[22,181],"systems.":[23],"Objective":[24],"This":[25,36],"study":[26,37],"presents":[27],"a":[28,42,176],"non-invasive":[29],"computational":[30],"approach":[31,174],"to":[32,138],"diagnosing":[33],"CVD.":[34],"Methods":[35],"combines":[38],"careful":[39],"data":[40],"preprocessing,":[41],"step-by-step":[43],"feature":[44,71],"selection":[45,72],"process,":[46],"advanced":[48],"ensemble":[49,94],"learning":[50,91],"models.":[51],"We":[52,87,130],"used":[53,132],"an":[54],"open-source":[55],"clinical":[56,148],"dataset":[57],"with":[58],"1190":[59],"patient":[60],"records.":[61],"To":[62],"select":[63],"most":[65],"important":[66],"features,":[67],"we":[68],"applied":[69],"three":[70,140],"methods:":[73],"Mutual":[74],"Information,":[75],"Sequential":[76],"Forward":[77],"Selection,":[78],"LASSO.":[80],"LASSO":[81],"performed":[82],"best,":[83],"achieving":[84],"94.03%":[85],"accuracy.":[86],"tested":[88],"14":[89],"machine":[90],"(ML)":[92],"classifiers":[95],"evaluated":[97],"them":[98],"using":[99],"confusion":[100],"matrix":[101],"metrics,":[102],"F1-scores,":[103],"stability":[106],"Area":[109],"Under":[110],"ROC":[112],"Curve":[113],"(AUC)":[114],"across":[115],"different":[116],"classification":[117],"thresholds.":[118],"Results":[119],"The":[120,156],"Extra":[121],"Trees":[122],"classifier":[123],"achieved":[124],"highest":[126],"diagnostic":[127],"accuracy":[128],"(98.80%).":[129],"also":[131],"independent":[133],"t-tests":[134],"Chi-square":[136],"analyses":[137],"compare":[139],"groups":[141],"attributes\u2014behavioral":[143],"habits,":[144],"physical":[145],"symptoms,":[146],"or":[149],"physiological":[150],"data\u2014between":[151],"male":[152],"female":[154],"patients.":[155],"results":[157],"showed":[158],"that":[159,183],"men":[160],"women":[162],"were":[163],"broadly":[164],"similar":[165],"in":[166],"these":[167],"key":[168],"risk":[169,189],"factors.":[170],"Conclusion":[171],"Our":[172],"high-precision":[173],"provides":[175],"cost-effective,":[177],"reliable,":[178],"easy-to-understand":[180],"tool":[182],"can":[184],"improve":[185],"early":[186],"screening":[187],"assessment":[190],"before":[191],"hospitalization.":[192]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-11-06T00:00:00"}