{"id":"https://openalex.org/W4408254240","doi":"https://doi.org/10.1109/access.2025.3548118","title":"Prediction of Myocardial Infarction Based on Non-ECG Sleep Data Combined With Domain Knowledge","display_name":"Prediction of Myocardial Infarction Based on Non-ECG Sleep Data Combined With Domain Knowledge","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408254240","doi":"https://doi.org/10.1109/access.2025.3548118"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3548118","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3548118","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3548118","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029688473","display_name":"Changyun Li","orcid":"https://orcid.org/0000-0002-3959-0680"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changyun Li","raw_affiliation_strings":["School of Computer Science, Hunan University of Technology, Zhuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hunan University of Technology, Zhuzhou, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107578024","display_name":"Yonghan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghan Zhao","raw_affiliation_strings":["School of Computer Science, Hunan University of Technology, Zhuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hunan University of Technology, Zhuzhou, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107578023","display_name":"Qihui Mo","orcid":null},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihui Mo","raw_affiliation_strings":["School of Computer Science, Hunan University of Technology, Zhuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hunan University of Technology, Zhuzhou, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101807012","display_name":"Zhibing Wang","orcid":"https://orcid.org/0000-0001-9599-069X"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibing Wang","raw_affiliation_strings":["School of Computer Science, Hunan University of Technology, Zhuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hunan University of Technology, Zhuzhou, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100696663","display_name":"Xi Xu","orcid":"https://orcid.org/0000-0003-4728-615X"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Xu","raw_affiliation_strings":["School of Computer Science, Hunan University of Technology, Zhuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hunan University of Technology, Zhuzhou, China","institution_ids":["https://openalex.org/I49934816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5029688473"],"corresponding_institution_ids":["https://openalex.org/I49934816"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":6.1931,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95170867,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"13","issue":null,"first_page":"42262","last_page":"42271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13647","display_name":"AI and Big Data Applications","score":0.7444000244140625,"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"}},"topics":[{"id":"https://openalex.org/T13647","display_name":"AI and Big Data Applications","score":0.7444000244140625,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.7182000279426575,"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/T13522","display_name":"Cardiovascular Health and Risk Factors","score":0.7067999839782715,"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/computer-science","display_name":"Computer science","score":0.630031406879425},{"id":"https://openalex.org/keywords/myocardial-infarction","display_name":"Myocardial infarction","score":0.5647554397583008},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4776393473148346},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.4365781843662262},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4116747975349426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39144912362098694},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.27189671993255615},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2511376142501831}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.630031406879425},{"id":"https://openalex.org/C500558357","wikidata":"https://www.wikidata.org/wiki/Q12152","display_name":"Myocardial infarction","level":2,"score":0.5647554397583008},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4776393473148346},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.4365781843662262},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4116747975349426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39144912362098694},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.27189671993255615},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2511376142501831},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3548118","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3548118","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:29f5c7bd06b24cbd86855d5ce205ea08","is_oa":true,"landing_page_url":"https://doaj.org/article/29f5c7bd06b24cbd86855d5ce205ea08","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":"IEEE Access, Vol 13, Pp 42262-42271 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3548118","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3548118","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326692","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W160785014","https://openalex.org/W2023515446","https://openalex.org/W2025773596","https://openalex.org/W2041074255","https://openalex.org/W2053724458","https://openalex.org/W2085087376","https://openalex.org/W2104647616","https://openalex.org/W2110424396","https://openalex.org/W2299686178","https://openalex.org/W2799328995","https://openalex.org/W2805075551","https://openalex.org/W2946832459","https://openalex.org/W2967692750","https://openalex.org/W2995911330","https://openalex.org/W3007020031","https://openalex.org/W3091542449","https://openalex.org/W3107734136","https://openalex.org/W3108118145","https://openalex.org/W3126673261","https://openalex.org/W3132952621","https://openalex.org/W3199623487","https://openalex.org/W3207769569","https://openalex.org/W4297452182","https://openalex.org/W4319440851","https://openalex.org/W4367368333","https://openalex.org/W4385376384","https://openalex.org/W4387247658","https://openalex.org/W4390543329","https://openalex.org/W4391821278","https://openalex.org/W4393257744","https://openalex.org/W4396743022","https://openalex.org/W4400123292","https://openalex.org/W4402446139","https://openalex.org/W4402941821","https://openalex.org/W4404556501","https://openalex.org/W6794189619","https://openalex.org/W6805377367","https://openalex.org/W6851029588","https://openalex.org/W6860774171","https://openalex.org/W6868191259","https://openalex.org/W6874376981"],"related_works":["https://openalex.org/W2013156117","https://openalex.org/W2026435239","https://openalex.org/W3031379692","https://openalex.org/W3032523068","https://openalex.org/W2182709824","https://openalex.org/W2801817672","https://openalex.org/W1583422155","https://openalex.org/W1649619740","https://openalex.org/W3213252596","https://openalex.org/W2165071883"],"abstract_inverted_index":{"Prediction":[0],"of":[1,21,29,89,96,156,199],"myocardial":[2],"infarction":[3],"(MI)":[4],"is":[5],"crucial":[6],"for":[7,58,120,209],"early":[8,200],"intervention":[9],"and":[10,36,50,80,104,108,117,144,212],"treatment.":[11],"Machine":[12],"learning":[13],"has":[14],"increasingly":[15],"been":[16],"applied":[17],"in":[18,45,71],"the":[19,27,64,72,85,127,149,154,164,173,197],"realm":[20],"disease":[22],"prediction.":[23],"This":[24],"study":[25],"explores":[26],"feasibility":[28],"utilizing":[30],"easily":[31],"obtainable":[32],"heart":[33],"rate":[34,38,136],"(HR)":[35],"respiratory":[37],"(RR)":[39],"data":[40,186],"collected":[41],"during":[42,91,188],"nocturnal":[43],"sleep,":[44],"conjunction":[46],"with":[47,110],"clinical":[48,111],"characteristics":[49],"medical":[51,140,191],"domain":[52,192],"knowledge,":[53],"to":[54,102,152,177],"predict":[55],"MI.":[56],"Data":[57],"this":[59],"investigation":[60],"were":[61,106,146],"sourced":[62],"from":[63],"Sleep":[65],"Heart":[66],"Health":[67],"Study":[68],"(SHHS)":[69],"program":[70],"United":[73],"States,":[74],"which":[75],"was":[76],"categorized":[77],"into":[78,148],"MI":[79,90,204],"non-MI":[81],"groups":[82],"based":[83],"on":[84],"occurrence":[86],"or":[87],"absence":[88],"follow-up,":[92],"involving":[93],"a":[94],"total":[95],"488":[97],"participants.":[98],"Multiple":[99],"features":[100],"related":[101],"HR":[103],"RR":[105,145],"extracted":[107],"integrated":[109],"features;":[112],"four":[113],"algorithms\u2014MLP,":[114],"SVM,":[115],"XGBoost,":[116],"CNN\u2014were":[118],"employed":[119],"model":[121,129,151],"construction.":[122],"The":[123,160,179],"findings":[124,180],"indicated":[125],"that":[126,163,182],"MLP":[128,150],"exhibited":[130],"superior":[131],"performance,":[132],"achieving":[133],"an":[134],"accuracy":[135,166,198],"71.1%.":[137],"Furthermore,":[138],"three":[139],"rules":[141],"age,":[142],"HR,":[143],"incorporated":[147],"mitigate":[153],"limitations":[155],"small":[157],"sample":[158],"sizes.":[159],"experiments":[161],"demonstrate":[162],"model\u2019s":[165],"reaches":[167],"its":[168,210],"optimal":[169],"level":[170],"by":[171],"combining":[172],"age":[174],"rule,":[175],"improving":[176],"73.1%.":[178],"indicate":[181],"leveraging":[183],"non-cardiac":[184],"electrophysiological":[185],"obtained":[187],"sleep":[189],"alongside":[190],"knowledge":[193],"can":[194],"significantly":[195],"enhance":[196],"predictions":[201],"regarding":[202],"cardiac":[203],"while":[205],"offering":[206],"novel":[207],"insights":[208],"prevention":[211],"diagnosis.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}