{"id":"https://openalex.org/W4401684853","doi":"https://doi.org/10.1007/s10462-024-10899-9","title":"A comprehensive review of deep learning-based models for heart disease prediction","display_name":"A comprehensive review of deep learning-based models for heart disease prediction","publication_year":2024,"publication_date":"2024-08-19","ids":{"openalex":"https://openalex.org/W4401684853","doi":"https://doi.org/10.1007/s10462-024-10899-9"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-024-10899-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-024-10899-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-024-10899-9.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"type":"review","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10462-024-10899-9.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051818286","display_name":"Chunjie Zhou","orcid":"https://orcid.org/0009-0006-8436-7193"},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunjie Zhou","raw_affiliation_strings":["Department of Information and Electrical Engineering, Ludong University, Yantai, Shandong, China","Yantai Cloud Software Co., Ltd., Yantai, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Electrical Engineering, Ludong University, Yantai, Shandong, China","institution_ids":["https://openalex.org/I182707071"]},{"raw_affiliation_string":"Yantai Cloud Software Co., Ltd., Yantai, Shandong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079117051","display_name":"Pengfei Dai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pengfei Dai","raw_affiliation_strings":["Yantai Cloud Software Co., Ltd., Yantai, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yantai Cloud Software Co., Ltd., Yantai, Shandong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079213297","display_name":"Aihua Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143276","display_name":"Yantaishan Hospital","ror":"https://ror.org/03bt48876","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210143276"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aihua Hou","raw_affiliation_strings":["Department of Oncology, Yantai City Hospital of Traditional Chinese Medicine, Yantai, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Oncology, Yantai City Hospital of Traditional Chinese Medicine, Yantai, Shandong, China","institution_ids":["https://openalex.org/I4210143276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605424","display_name":"Zhenxing Zhang","orcid":"https://orcid.org/0000-0003-2887-9873"},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenxing Zhang","raw_affiliation_strings":["Department of Information and Electrical Engineering, Ludong University, Yantai, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Electrical Engineering, Ludong University, Yantai, Shandong, China","institution_ids":["https://openalex.org/I182707071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009258719","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-9731-6145"},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["Department of Information and Electrical Engineering, Ludong University, Yantai, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Electrical Engineering, Ludong University, Yantai, Shandong, China","institution_ids":["https://openalex.org/I182707071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009978113","display_name":"Ali Li","orcid":"https://orcid.org/0000-0001-9473-6112"},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ali Li","raw_affiliation_strings":["Department of Information and Electrical Engineering, Ludong University, Yantai, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Electrical Engineering, Ludong University, Yantai, Shandong, China","institution_ids":["https://openalex.org/I182707071"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100704639","display_name":"Fusheng Wang","orcid":"https://orcid.org/0000-0002-9369-9361"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fusheng Wang","raw_affiliation_strings":["Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5051818286"],"corresponding_institution_ids":["https://openalex.org/I182707071"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":36.3167,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.99777407,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"57","issue":"10","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":0.9994999766349792,"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":0.9994999766349792,"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":0.9648000001907349,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.95169997215271,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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":0.7482709288597107},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5551611185073853},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4836200773715973},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4355085492134094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7482709288597107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5551611185073853},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4836200773715973},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4355085492134094}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10462-024-10899-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-024-10899-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-024-10899-9.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10462-024-10899-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-024-10899-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-024-10899-9.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.41999998688697815,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401684853.pdf"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W2147273498","https://openalex.org/W2752747624","https://openalex.org/W2802506731","https://openalex.org/W2808243856","https://openalex.org/W2888025781","https://openalex.org/W2920805549","https://openalex.org/W2957682442","https://openalex.org/W2986613416","https://openalex.org/W2991588730","https://openalex.org/W3007212997","https://openalex.org/W3009495181","https://openalex.org/W3038010422","https://openalex.org/W3040351441","https://openalex.org/W3041913137","https://openalex.org/W3046264930","https://openalex.org/W3088428904","https://openalex.org/W3093854333","https://openalex.org/W3119689986","https://openalex.org/W3120846667","https://openalex.org/W3121023256","https://openalex.org/W3121644786","https://openalex.org/W3126008863","https://openalex.org/W3131768033","https://openalex.org/W3132952621","https://openalex.org/W3135304000","https://openalex.org/W3144988052","https://openalex.org/W3159716340","https://openalex.org/W3165801113","https://openalex.org/W3177781640","https://openalex.org/W3194255999","https://openalex.org/W3194256206","https://openalex.org/W3199252091","https://openalex.org/W3212968520","https://openalex.org/W3213038192","https://openalex.org/W4206797510","https://openalex.org/W4210820893","https://openalex.org/W4212964221","https://openalex.org/W4214844979","https://openalex.org/W4221058841","https://openalex.org/W4243046127","https://openalex.org/W4285141228","https://openalex.org/W4286638063","https://openalex.org/W4312129484","https://openalex.org/W4312398120","https://openalex.org/W4313001487","https://openalex.org/W4313334823","https://openalex.org/W4317629004","https://openalex.org/W4318392177","https://openalex.org/W4320085508","https://openalex.org/W4322154716","https://openalex.org/W4322753871","https://openalex.org/W4323033549","https://openalex.org/W4323066872","https://openalex.org/W4361288385","https://openalex.org/W4362706992","https://openalex.org/W4364361247","https://openalex.org/W4364375450","https://openalex.org/W4367299072","https://openalex.org/W4372232461","https://openalex.org/W4376112629","https://openalex.org/W4377041326","https://openalex.org/W4378651010","https://openalex.org/W4381194546","https://openalex.org/W4383187199","https://openalex.org/W4386134782","https://openalex.org/W4387007082","https://openalex.org/W4387012490","https://openalex.org/W4388574995","https://openalex.org/W4390064758","https://openalex.org/W4391848468","https://openalex.org/W4391906293","https://openalex.org/W4392499280","https://openalex.org/W6631113584","https://openalex.org/W6904756845"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3046775127","https://openalex.org/W3082895349"],"abstract_inverted_index":{"Heart":[0],"disease":[1],"(HD)":[2],"is":[3,31,166],"one":[4],"of":[5,9,24,38,65,114,125,169,180],"the":[6,61,93,135,162,167,175],"leading":[7],"causes":[8],"death":[10],"in":[11,50,134,144],"humans,":[12],"posing":[13],"a":[14,122],"heavy":[15],"burden":[16],"on":[17],"society,":[18],"families,":[19],"and":[20,30,36,47,59,63,73,99,130],"patients.":[21],"Real-time":[22],"prediction":[23,147],"HD":[25],"can":[26],"reduce":[27],"mortality":[28],"rates":[29],"crucial":[32],"for":[33,86,107,177],"timely":[34],"intervention":[35],"treatment":[37],"HD.":[39,52,88],"Deep":[40],"learning":[41,70,76,128],"(DL)-related":[42],"methods":[43,129],"have":[44],"higher":[45],"accuracy":[46],"real-time":[48,115],"performance":[49],"predicting":[51,87],"In":[53],"this":[54],"study,":[55],"we":[56],"comprehensively":[57],"compared":[58],"evaluated":[60],"contributions":[62],"limitations":[64],"DL":[66,82],"algorithms,":[67,72],"extended":[68],"deep":[69,75,127],"(ETDL)":[71],"integrated":[74,132],"(integrated":[77],"DL)":[78],"algorithms":[79],"that":[80],"combine":[81],"with":[83,121],"other":[84],"technologies":[85,133],"The":[89],"articles":[90,104],"considered":[91],"span":[92],"period":[94],"from":[95],"2018":[96],"to":[97],"2023,":[98],"after":[100],"rigorous":[101],"screening,":[102],"64":[103],"were":[105],"selected":[106],"preliminary":[108],"research.":[109],"A":[110],"systematic":[111],"literature":[112],"review":[113],"HDP":[116],"will":[117],"provide":[118],"future":[119],"researchers":[120],"comprehensive":[123],"understanding":[124],"existing":[126,152,181],"related":[131],"healthcare":[136],"industry.":[137],"Furthermore,":[138],"it":[139,150],"discusses":[140],"popular":[141],"datasets":[142],"employed":[143],"deploying":[145],"numerous":[146],"models.":[148,182],"Additionally,":[149],"reveals":[151],"open":[153],"problems":[154],"or":[155],"challenges":[156],"encountered":[157],"by":[158,174],"previous":[159],"researchers.":[160],"Notably,":[161],"most":[163],"prevalent":[164],"challenge":[165],"scarcity":[168],"large":[170],"discrete":[171],"datasets,":[172],"followed":[173],"need":[176],"further":[178],"improvement":[179]},"counts_by_year":[{"year":2026,"cited_by_count":20},{"year":2025,"cited_by_count":35},{"year":2024,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}
