{"id":"https://openalex.org/W3209822706","doi":"https://doi.org/10.3233/faia210172","title":"A Deep Neural Network Model for the Prediction of Major Adverse Cardiovascular Event Occurrences in Patients with non-ST-Elevation Myocardial Infarction","display_name":"A Deep Neural Network Model for the Prediction of Major Adverse Cardiovascular Event Occurrences in Patients with non-ST-Elevation Myocardial Infarction","publication_year":2021,"publication_date":"2021-10-14","ids":{"openalex":"https://openalex.org/W3209822706","doi":"https://doi.org/10.3233/faia210172","mag":"3209822706"},"language":"en","primary_location":{"id":"doi:10.3233/faia210172","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia210172","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210172","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210172","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","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":true,"raw_author_name":"Huilin Zheng","raw_affiliation_strings":["Department of Computer Science, Chungbuk National University, Cheongju, Chungbuk 28644, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chungbuk National University, Cheongju, Chungbuk 28644, South Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"middle","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, Chungbuk 28644, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chungbuk National University, Cheongju, Chungbuk 28644, South Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103100094","display_name":"Sang Hyeok Son","orcid":"https://orcid.org/0000-0002-7361-1625"},"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":"Sang Hyeok Son","raw_affiliation_strings":["Department of Computer Science, Chungbuk National University, Cheongju, Chungbuk 28644, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chungbuk National University, Cheongju, Chungbuk 28644, South 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":false,"raw_author_name":"Jong Yun Lee","raw_affiliation_strings":["Department of Computer Science, Chungbuk National University, Cheongju, Chungbuk 28644, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chungbuk National University, Cheongju, Chungbuk 28644, South Korea","institution_ids":["https://openalex.org/I163753206"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082078120"],"corresponding_institution_ids":["https://openalex.org/I163753206"],"apc_list":null,"apc_paid":null,"fwci":0.656,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78477547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"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":0.8885999917984009,"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":0.8885999917984009,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.7699999809265137,"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/mace","display_name":"Mace","score":0.8334684371948242},{"id":"https://openalex.org/keywords/myocardial-infarction","display_name":"Myocardial infarction","score":0.6415531039237976},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6291826963424683},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5713212490081787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5636322498321533},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5394026041030884},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5246418118476868},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5045572519302368},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49886536598205566},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.47820401191711426},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.38716229796409607},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3243478536605835},{"id":"https://openalex.org/keywords/percutaneous-coronary-intervention","display_name":"Percutaneous coronary intervention","score":0.061480939388275146}],"concepts":[{"id":"https://openalex.org/C2780739214","wikidata":"https://www.wikidata.org/wiki/Q6723023","display_name":"Mace","level":4,"score":0.8334684371948242},{"id":"https://openalex.org/C500558357","wikidata":"https://www.wikidata.org/wiki/Q12152","display_name":"Myocardial infarction","level":2,"score":0.6415531039237976},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6291826963424683},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5713212490081787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5636322498321533},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5394026041030884},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5246418118476868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5045572519302368},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49886536598205566},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.47820401191711426},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.38716229796409607},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3243478536605835},{"id":"https://openalex.org/C2780400711","wikidata":"https://www.wikidata.org/wiki/Q2008344","display_name":"Percutaneous coronary intervention","level":3,"score":0.061480939388275146},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia210172","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia210172","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210172","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia210172","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia210172","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA210172","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8899999856948853}],"awards":[{"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/G247979541","display_name":null,"funder_award_id":"IITP-2021-2020-0-01462","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G4908916412","display_name":null,"funder_award_id":"2017R1D1A1A02018718","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G4981382865","display_name":null,"funder_award_id":"N0002429","funder_id":"https://openalex.org/F4320322064","funder_display_name":"Korea Institute for Advancement of Technology"},{"id":"https://openalex.org/G5033673687","display_name":null,"funder_award_id":"N0002429","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"},{"id":"https://openalex.org/G5189440523","display_name":null,"funder_award_id":"IITP-2021-2020-0-01462","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G5453663967","display_name":null,"funder_award_id":"IITP-2021-2020-0-01462","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322064","display_name":"Korea Institute for Advancement of Technology","ror":"https://ror.org/015w1qa96"},{"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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3209822706.pdf","grobid_xml":"https://content.openalex.org/works/W3209822706.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W317456669","https://openalex.org/W1522301498","https://openalex.org/W2073909531","https://openalex.org/W2095705004","https://openalex.org/W2097998348","https://openalex.org/W2122111042","https://openalex.org/W2132791018","https://openalex.org/W2148143831","https://openalex.org/W2165884492","https://openalex.org/W2183395990","https://openalex.org/W2330820318","https://openalex.org/W2604319603","https://openalex.org/W2786645280","https://openalex.org/W2955547090","https://openalex.org/W2958682939","https://openalex.org/W2977400776","https://openalex.org/W2988621719","https://openalex.org/W3008847490","https://openalex.org/W3028456799","https://openalex.org/W3035035250","https://openalex.org/W3098971646","https://openalex.org/W3185676931","https://openalex.org/W4200283578","https://openalex.org/W4213304257","https://openalex.org/W4234971943","https://openalex.org/W4254751698","https://openalex.org/W4301132610","https://openalex.org/W6843735874"],"related_works":["https://openalex.org/W2549128234","https://openalex.org/W4384039244","https://openalex.org/W2359776892","https://openalex.org/W4319080855","https://openalex.org/W3029853307","https://openalex.org/W2371587282","https://openalex.org/W3136022019","https://openalex.org/W4311342674","https://openalex.org/W2376075731","https://openalex.org/W4224922629"],"abstract_inverted_index":{"Cardiovascular":[0],"disease":[1],"(CVD)":[2],"is":[3,19],"one":[4],"of":[5,9,55,125,164],"the":[6,13,16,36,52,66,70,85,91,95,100,106,109,113,123,133,162],"major":[7,37],"causes":[8],"death":[10],"all":[11,105],"over":[12],"world":[14],"and":[15,82,98,137,154],"mortality":[17],"rate":[18],"higher":[20],"than":[21],"other":[22,169],"causes.":[23],"Hence,":[24],"we":[25,68,116,131],"propose":[26],"a":[27,118],"novel":[28],"deep":[29],"neural":[30],"network":[31],"(DNN)-based":[32],"prediction":[33,53,172],"model":[34,121],"for":[35,65,112,122],"adverse":[38],"cardiovascular":[39],"event":[40],"(MACE)":[41],"occurrences":[42,124],"in":[43,108,127],"patients":[44],"with":[45,78,140],"non-ST-Elevation":[46],"myocardial":[47],"infarction":[48],"(NSTEMI)":[49],"to":[50,103],"improve":[51],"accuracy":[54],"CVD.":[56],"The":[57,158],"research":[58],"contents":[59],"are":[60],"described":[61],"as":[62,89,147],"follows.":[63],"First,":[64],"experiment,":[67],"use":[69],"Korean":[71],"Acute":[72],"Myocardial":[73],"Infarction":[74],"Registry":[75],"(KAMIR-NIH)":[76],"dataset":[77],"2":[79],"years":[80],"follow-ups":[81],"then":[83],"preprocess":[84],"extracted":[86],"data,":[87],"such":[88,146],"processing":[90],"missing":[92],"values,":[93],"solving":[94],"imbalance":[96],"problem,":[97],"applying":[99],"normalization":[101],"meth":[102],"scale":[104],"datasets":[107],"same":[110],"range":[111],"experiment.":[114],"Then":[115],"design":[117],"DNN-based":[119],"prognosis":[120],"MACE":[126],"NSTEMI":[128],"patients.":[129],"Finally,":[130],"evaluate":[132],"proposed":[134,166],"model\u2019s":[135],"performance":[136,163],"compare":[138],"it":[139],"several":[141],"applied":[142],"machine":[143,170],"learning":[144],"algorithms,":[145],"logistic":[148],"regression,":[149],"K-Nearest":[150],"Neighbors,":[151],"decision":[152],"tree,":[153],"support":[155],"vector":[156],"machine.":[157],"result":[159],"shows":[160],"that":[161],"our":[165],"method":[167],"outperformed":[168],"learning-based":[171],"models.":[173]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-01T08:36:08.643496","created_date":"2025-10-10T00:00:00"}
