{"id":"https://openalex.org/W4318050008","doi":"https://doi.org/10.3390/s23031351","title":"A Machine Learning-Based Applied Prediction Model for Identification of Acute Coronary Syndrome (ACS) Outcomes and Mortality in Patients during the Hospital Stay","display_name":"A Machine Learning-Based Applied Prediction Model for Identification of Acute Coronary Syndrome (ACS) Outcomes and Mortality in Patients during the Hospital Stay","publication_year":2023,"publication_date":"2023-01-25","ids":{"openalex":"https://openalex.org/W4318050008","doi":"https://doi.org/10.3390/s23031351","pmid":"https://pubmed.ncbi.nlm.nih.gov/36772390"},"language":"en","primary_location":{"id":"doi:10.3390/s23031351","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031351","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1351/pdf?version=1674871891","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/3/1351/pdf?version=1674871891","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010316544","display_name":"Syed Waseem Abbas Sherazi","orcid":"https://orcid.org/0000-0002-2453-4571"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Syed Waseem Abbas Sherazi","raw_affiliation_strings":["Department of Computer Science, Chungbuk National University, Cheongju 28644, Chungbuk, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chungbuk National University, Cheongju 28644, Chungbuk, Republic of Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082078120","display_name":"Huilin Zheng","orcid":"https://orcid.org/0000-0002-5126-4984"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Huilin Zheng","raw_affiliation_strings":["Department of Computer Science, Chungbuk National University, Cheongju 28644, Chungbuk, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chungbuk National University, Cheongju 28644, Chungbuk, Republic of Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049471995","display_name":"Jong Yun Lee","orcid":"https://orcid.org/0000-0001-5526-946X"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jong Yun Lee","raw_affiliation_strings":["Department of Computer Science, Chungbuk National University, Cheongju 28644, Chungbuk, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chungbuk National University, Cheongju 28644, Chungbuk, Republic of Korea","institution_ids":["https://openalex.org/I163753206"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049471995"],"corresponding_institution_ids":["https://openalex.org/I163753206"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":9.557,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.97852956,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"23","issue":"3","first_page":"1351","last_page":"1351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9940999746322632,"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":0.9940999746322632,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9790999889373779,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9606000185012817,"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/acute-coronary-syndrome","display_name":"Acute coronary syndrome","score":0.832427978515625},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5248525142669678},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.49289441108703613},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.4359474778175354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37289294600486755},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.37093836069107056},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3683964014053345},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.3617931604385376},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33457714319229126},{"id":"https://openalex.org/keywords/myocardial-infarction","display_name":"Myocardial infarction","score":0.2117334008216858}],"concepts":[{"id":"https://openalex.org/C2777698277","wikidata":"https://www.wikidata.org/wiki/Q266018","display_name":"Acute coronary syndrome","level":3,"score":0.832427978515625},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5248525142669678},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.49289441108703613},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.4359474778175354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37289294600486755},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.37093836069107056},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3683964014053345},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.3617931604385376},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33457714319229126},{"id":"https://openalex.org/C500558357","wikidata":"https://www.wikidata.org/wiki/Q12152","display_name":"Myocardial infarction","level":2,"score":0.2117334008216858},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007902","descriptor_name":"Length of Stay","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007902","descriptor_name":"Length of Stay","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007902","descriptor_name":"Length of Stay","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D054058","descriptor_name":"Acute Coronary Syndrome","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D054058","descriptor_name":"Acute Coronary Syndrome","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D054058","descriptor_name":"Acute Coronary Syndrome","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23031351","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031351","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1351/pdf?version=1674871891","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36772390","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36772390","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9919937","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9919937","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9919937/pdf/sensors-23-01351.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:2ae14626c9c9404696924bee2934db3d","is_oa":true,"landing_page_url":"https://doaj.org/article/2ae14626c9c9404696924bee2934db3d","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":"Sensors, Vol 23, Iss 3, p 1351 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/3/1351/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23031351","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 3; Pages: 1351","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23031351","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031351","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1351/pdf?version=1674871891","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8999999761581421}],"awards":[{"id":"https://openalex.org/G1236286637","display_name":null,"funder_award_id":"2022R1F1A1063003","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G1522539689","display_name":null,"funder_award_id":"IITP-2023-2020-0-01462","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G1917921091","display_name":null,"funder_award_id":"2020-0-01462","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G3718946594","display_name":null,"funder_award_id":"IITP-2022-2020-0-01462","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G8446182298","display_name":null,"funder_award_id":"IITP-2023-2020-0-01462","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G938309455","display_name":null,"funder_award_id":"IITP-2023-2020-0-01462","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4318050008.pdf"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W204697558","https://openalex.org/W1576442155","https://openalex.org/W1678356000","https://openalex.org/W2012035409","https://openalex.org/W2034690624","https://openalex.org/W2055838663","https://openalex.org/W2069921149","https://openalex.org/W2088794999","https://openalex.org/W2097528447","https://openalex.org/W2101234009","https://openalex.org/W2116925234","https://openalex.org/W2148092884","https://openalex.org/W2149420678","https://openalex.org/W2172010951","https://openalex.org/W2342249984","https://openalex.org/W2481087030","https://openalex.org/W2496911238","https://openalex.org/W2521200999","https://openalex.org/W2532165707","https://openalex.org/W2542074903","https://openalex.org/W2562319768","https://openalex.org/W2618596952","https://openalex.org/W2755364614","https://openalex.org/W2765449478","https://openalex.org/W2767502650","https://openalex.org/W2911964244","https://openalex.org/W2954788759","https://openalex.org/W2969098049","https://openalex.org/W2977400776","https://openalex.org/W2993912790","https://openalex.org/W3011403448","https://openalex.org/W3020873385","https://openalex.org/W3035965352","https://openalex.org/W3039232647","https://openalex.org/W3095705220","https://openalex.org/W3099878876","https://openalex.org/W3102363003","https://openalex.org/W3124201778","https://openalex.org/W3133508302","https://openalex.org/W3168222379","https://openalex.org/W3185676931","https://openalex.org/W4242698231","https://openalex.org/W4283014424","https://openalex.org/W4293713156","https://openalex.org/W6675354045","https://openalex.org/W6677231036","https://openalex.org/W6713134421","https://openalex.org/W6723835939","https://openalex.org/W6744729954","https://openalex.org/W6770954436","https://openalex.org/W6773944452","https://openalex.org/W6785211274","https://openalex.org/W6789460145"],"related_works":["https://openalex.org/W2995865536","https://openalex.org/W2314974260","https://openalex.org/W4214510654","https://openalex.org/W2762931914","https://openalex.org/W2474254690","https://openalex.org/W2742512035","https://openalex.org/W4389916214","https://openalex.org/W2318923573","https://openalex.org/W2773426685","https://openalex.org/W2593530741"],"abstract_inverted_index":{"Nowadays,":[0],"machine":[1,132],"learning":[2],"(ML)":[3],"is":[4],"a":[5,31],"revolutionary":[6],"and":[7,16,22,50,61,93,101,129,140,169,227,242],"cutting-edge":[8],"technology":[9],"widely":[10],"used":[11,73,96,220],"in":[12,19,58,160,222],"the":[13,20,38,55,59,65,69,74,97,103,110,130,143,153,170,173,179,182,191,197,202,225,243],"medical":[14],"domain":[15],"health":[17],"informatics":[18],"diagnosis":[21,226],"prognosis":[23],"of":[24,41,113,136,145,181,205,229,236,245],"cardiovascular":[25],"diseases":[26],"especially.":[27],"Therefore,":[28],"we":[29,95],"propose":[30],"ML-based":[32,157,214],"soft-voting":[33],"ensemble":[34],"classifier":[35,200],"(SVEC)":[36],"for":[37,54,64,133,201,224],"predictive":[39,134,158,203,210],"modeling":[40,135,204],"acute":[42],"coronary":[43],"syndrome":[44],"(ACS)":[45],"outcomes":[46],"such":[47,123],"as":[48,124],"STEMI":[49],"NSTEMI,":[51],"discharge":[52],"reasons":[53],"patients":[56,67],"admitted":[57],"hospitals,":[60],"death":[62],"types":[63],"affected":[66],"during":[68],"hospital":[70],"stay.":[71],"We":[72],"Korea":[75],"Acute":[76],"Myocardial":[77],"Infarction":[78],"Registry":[79],"(KAMIR-NIH)":[80],"dataset,":[81],"which":[82],"has":[83],"13,104":[84],"patients'":[85],"data":[86,91,111],"containing":[87],"551":[88],"features.":[89],"After":[90],"extraction":[92],"preprocessing,":[94],"125":[98],"useful":[99],"features":[100],"applied":[102,119,188],"SMOTETomek":[104],"hybrid":[105],"sampling":[106],"technique":[107],"to":[108],"oversample":[109],"imbalance":[112],"minority":[114],"classes.":[115],"Our":[116],"proposed":[117,209],"SVEC":[118,154,183],"three":[120],"ML":[121],"algorithms,":[122],"random":[125],"forest,":[126],"extra":[127,198],"tree,":[128],"gradient-boosting":[131],"our":[137],"target":[138],"variables,":[139],"compared":[141],"with":[142],"performances":[144],"all":[146],"base":[147],"classifiers.":[148],"The":[149,208],"experiments":[150],"showed":[151],"that":[152,233],"outperformed":[155,212],"other":[156,187,213],"models":[159],"accuracy":[161],"(99.0733%),":[162],"precision":[163],"(99.0742%),":[164],"recall":[165],"(99.0734%),":[166],"F1-score":[167],"(99.9719%),":[168],"area":[171],"under":[172],"ROC":[174],"curve":[175],"(AUC)":[176],"(99.9702%).":[177],"Overall,":[178],"performance":[180],"was":[184,193],"better":[185],"than":[186,196],"models,":[189],"but":[190],"AUC":[192],"slightly":[194],"lower":[195],"tree":[199],"ACS":[206],"outcomes.":[207],"model":[211],"models;":[215],"hence":[216],"it":[217],"can":[218,239],"be":[219,240],"practically":[221],"hospitals":[223],"prediction":[228],"heart":[230],"problems":[231],"so":[232],"timely":[234],"detection":[235],"proper":[237],"treatments":[238],"chosen,":[241],"occurrence":[244],"disease":[246],"predicted":[247],"more":[248],"accurately.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
