{"id":"https://openalex.org/W4408862848","doi":"https://doi.org/10.1109/icca62237.2024.10928056","title":"Epistemological Advancements in Cardiological Forecasting: Machine Learning as a Paradigm for Prognostic Precision","display_name":"Epistemological Advancements in Cardiological Forecasting: Machine Learning as a Paradigm for Prognostic Precision","publication_year":2024,"publication_date":"2024-12-17","ids":{"openalex":"https://openalex.org/W4408862848","doi":"https://doi.org/10.1109/icca62237.2024.10928056"},"language":"en","primary_location":{"id":"doi:10.1109/icca62237.2024.10928056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca62237.2024.10928056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Computer and Applications (ICCA)","raw_type":"proceedings-article"},"type":"article","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/A5101145721","display_name":"Bushra Uddin","orcid":null},"institutions":[{"id":"https://openalex.org/I207123951","display_name":"New Mexico Institute of Mining and Technology","ror":"https://ror.org/005p9kw61","country_code":"US","type":"education","lineage":["https://openalex.org/I207123951"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bushra Uddin","raw_affiliation_strings":["New Mexico Tech,Department of Mathematics,Socorro,NM,USA"],"affiliations":[{"raw_affiliation_string":"New Mexico Tech,Department of Mathematics,Socorro,NM,USA","institution_ids":["https://openalex.org/I207123951"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mohammad Shihab Uddin","orcid":null},"institutions":[{"id":"https://openalex.org/I207123951","display_name":"New Mexico Institute of Mining and Technology","ror":"https://ror.org/005p9kw61","country_code":"US","type":"education","lineage":["https://openalex.org/I207123951"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Shihab Uddin","raw_affiliation_strings":["New Mexico Tech,Department of Mathematics,Socorro,NM,USA"],"affiliations":[{"raw_affiliation_string":"New Mexico Tech,Department of Mathematics,Socorro,NM,USA","institution_ids":["https://openalex.org/I207123951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101346042","display_name":"Sharmin Sultana","orcid":"https://orcid.org/0009-0003-6236-7860"},"institutions":[{"id":"https://openalex.org/I207123951","display_name":"New Mexico Institute of Mining and Technology","ror":"https://ror.org/005p9kw61","country_code":"US","type":"education","lineage":["https://openalex.org/I207123951"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sharmin Sultana","raw_affiliation_strings":["New Mexico Tech,Department of Mathematics,Socorro,NM,USA"],"affiliations":[{"raw_affiliation_string":"New Mexico Tech,Department of Mathematics,Socorro,NM,USA","institution_ids":["https://openalex.org/I207123951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109744883","display_name":"Md Sanowar Hossain Sabuj","orcid":null},"institutions":[{"id":"https://openalex.org/I206651237","display_name":"East Texas A&M University","ror":"https://ror.org/01red3556","country_code":"US","type":"education","lineage":["https://openalex.org/I206651237"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"MD Sanowar Hossain Sabuj","raw_affiliation_strings":["Texas A&#x0026;M University-Commerce,Dept. of Mktg. &#x0026; Bus. Analytics,Commerce,TX,USA"],"affiliations":[{"raw_affiliation_string":"Texas A&#x0026;M University-Commerce,Dept. of Mktg. &#x0026; Bus. Analytics,Commerce,TX,USA","institution_ids":["https://openalex.org/I206651237"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115840045","display_name":"Fariha Ferdous Neha","orcid":null},"institutions":[{"id":"https://openalex.org/I205746353","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37","country_code":"BD","type":"education","lineage":["https://openalex.org/I205746353"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Fariha Ferdous Neha","raw_affiliation_strings":["University of Dhaka,Department of Applied Mathematics,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"University of Dhaka,Department of Applied Mathematics,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I205746353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073023318","display_name":"Md Salah Uddin","orcid":"https://orcid.org/0000-0001-8092-4243"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"MD Salah Uddin","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101145721"],"corresponding_institution_ids":["https://openalex.org/I207123951"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25654307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9204999804496765,"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":0.9204999804496765,"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/computer-science","display_name":"Computer science","score":0.5476927757263184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4875568747520447},{"id":"https://openalex.org/keywords/paradigm-shift","display_name":"Paradigm shift","score":0.4730585813522339},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4292508661746979},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34815239906311035},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.27014636993408203},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.12831100821495056}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5476927757263184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4875568747520447},{"id":"https://openalex.org/C43540301","wikidata":"https://www.wikidata.org/wiki/Q689971","display_name":"Paradigm shift","level":2,"score":0.4730585813522339},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4292508661746979},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34815239906311035},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.27014636993408203},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.12831100821495056}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca62237.2024.10928056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca62237.2024.10928056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Computer and Applications (ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1175355699","https://openalex.org/W2035510150","https://openalex.org/W2518582440","https://openalex.org/W2784168210","https://openalex.org/W2913705661","https://openalex.org/W2991588730","https://openalex.org/W3003299879","https://openalex.org/W3152721692","https://openalex.org/W3205149422","https://openalex.org/W3210584845","https://openalex.org/W4321367639","https://openalex.org/W4388179544","https://openalex.org/W4391310825","https://openalex.org/W4391484192","https://openalex.org/W4392001880","https://openalex.org/W4392944528","https://openalex.org/W4396918022","https://openalex.org/W4400491222","https://openalex.org/W4400910015","https://openalex.org/W4400910786","https://openalex.org/W4401719906","https://openalex.org/W4404349396","https://openalex.org/W4404740154","https://openalex.org/W4404740823","https://openalex.org/W4405601938","https://openalex.org/W4405602265","https://openalex.org/W4405602497","https://openalex.org/W4407692551"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Cardiovascular":[0],"disease":[1],"(CVD)":[2],"constitutes":[3],"a":[4,16,31,89,232],"heterogeneous":[5],"ensemble":[6],"of":[7,18,50,77,95,147,185,245,255,260,273],"pathological":[8],"conditions":[9],"impacting":[10],"the":[11,21,46,75,93,140,219,222,243,246,270],"heart":[12,26],"and":[13,34,62,101,155,161,171,198,203,218,257,288,296],"vasculature,":[14],"encompassing":[15],"multitude":[17],"disorders":[19],"within":[20],"cardiovascular":[22],"apparatus.":[23],"Among":[24],"these,":[25],"failure":[27],"(HF)":[28],"emerges":[29],"as":[30,59,214],"particularly":[32,73],"pervasive":[33],"deleterious":[35],"malady,":[36],"afflicting":[37],"individuals":[38],"across":[39],"all":[40],"demographic":[41],"strata.":[42],"HF":[43,86,136,142,264],"ensues":[44],"when":[45],"myocardium":[47],"is":[48],"incapable":[49],"propelling":[51],"blood":[52],"with":[53,282],"requisite":[54],"efficacy,":[55],"precipitating":[56],"manifestations":[57],"such":[58,213],"dyspnea,":[60],"lassitude,":[61],"fluid":[63],"retention.":[64],"This":[65,125],"insidious,":[66],"progressive":[67],"affliction":[68],"substantially":[69],"exacerbates":[70],"mortality":[71],"risk,":[72],"in":[74,262,276],"presence":[76],"concomitant":[78],"comorbidities.":[79],"For":[80],"clinicians,":[81],"prognosticating":[82],"survival":[83,137],"probabilities":[84],"for":[85,135],"patients":[87],"remains":[88],"formidable":[90],"challenge,":[91],"necessitating":[92],"deployment":[94],"computational":[96],"methodologies":[97,275],"to":[98,115,128,157,176,207,230,285],"enable":[99],"nuanced":[100],"expeditious":[102],"therapeutic":[103],"determinations.":[104],"Machine":[105],"learning":[106],"(ML)":[107],"algorithms":[108],"proffer":[109],"an":[110,130,183,253,258],"avant-garde":[111],"paradigm,":[112],"empowering":[113],"cardiologists":[114,281],"devise":[116],"bespoke":[117],"treatment":[118],"regimens":[119],"derived":[120],"from":[121],"pertinent":[122],"clinical":[123,145,278,290],"data.":[124],"investigation":[126],"endeavors":[127],"construct":[129],"interpretable":[131],"ML-driven":[132],"prognostic":[133,297],"framework":[134],"analysis.":[138],"Leveraging":[139],"UCI":[141],"dataset,":[143],"comprising":[144],"records":[146],"numerous":[148],"patients,":[149],"we":[150],"undertook":[151],"rigorous":[152],"data":[153,159,169],"curation":[154],"preprocessing":[156],"refine":[158],"integrity":[160],"elucidate":[162],"distributional":[163],"properties.":[164],"Essential":[165],"procedures,":[166],"including":[167],"meticulous":[168],"cleaning":[170],"feature":[172],"engineering,":[173],"were":[174,228],"employed":[175],"bolster":[177],"predictive":[178],"precision.":[179,298],"The":[180],"study":[181],"assessed":[182],"array":[184],"ML":[186,274],"algorithms\u2014Na\u00efve":[187],"Bayes":[188],"(NB),":[189],"Logistic":[190],"Regression":[191],"(LR),":[192],"Random":[193,247],"Forest":[194,248],"(RF),":[195],"XGBoost":[196],"(XGB),":[197],"LightGBM\u2014while":[199],"employing":[200],"hyperparameter":[201],"optimization":[202],"overfitting":[204],"mitigation":[205],"strategies":[206],"enhance":[208],"model":[209],"robustness.":[210],"Evaluation":[211],"metrics":[212],"precision,":[215],"recall,":[216],"F1-score,":[217],"area":[220],"under":[221],"receiver":[223],"operating":[224],"characteristic":[225],"curve":[226],"(AUC)":[227],"prioritized":[229],"furnish":[231],"comprehensive":[233],"appraisal,":[234],"transcending":[235],"reliance":[236],"on":[237],"accuracy":[238,254],"alone.":[239],"Empirical":[240],"findings":[241],"revealed":[242],"preeminence":[244],"(RF)":[249],"classifier,":[250],"which":[251],"achieved":[252],"87.77%":[256],"AUC":[259],"94.36%":[261],"forecasting":[263],"patient":[265,294],"survival.":[266],"These":[267],"outcomes":[268],"illuminate":[269],"transformative":[271],"potential":[272],"refining":[277],"prognostication,":[279],"equipping":[280],"actionable":[283],"intelligence":[284],"enact":[286],"prompt":[287],"informed":[289],"interventions,":[291],"thereby":[292],"augmenting":[293],"care":[295]},"counts_by_year":[],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}
