{"id":"https://openalex.org/W4388052801","doi":"https://doi.org/10.1109/access.2023.3328909","title":"A Robust Heart Disease Prediction System Using Hybrid Deep Neural Networks","display_name":"A Robust Heart Disease Prediction System Using Hybrid Deep Neural Networks","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388052801","doi":"https://doi.org/10.1109/access.2023.3328909"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3328909","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3328909","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10302290.pdf","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":null,"license_id":null,"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://ieeexplore.ieee.org/ielx7/6287639/6514899/10302290.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089107181","display_name":"Mana Saleh Al Reshan","orcid":null},"institutions":[{"id":"https://openalex.org/I47164929","display_name":"Najran University","ror":"https://ror.org/05edw4a90","country_code":"SA","type":"education","lineage":["https://openalex.org/I47164929"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Mana Saleh Al Reshan","raw_affiliation_strings":["Department Information Systems, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-2266-9608","affiliations":[{"raw_affiliation_string":"Department Information Systems, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia","institution_ids":["https://openalex.org/I47164929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044943114","display_name":"Samina Amin","orcid":"https://orcid.org/0000-0003-4811-6806"},"institutions":[{"id":"https://openalex.org/I178777954","display_name":"Kohat University of Science and Technology","ror":"https://ror.org/057d2v504","country_code":"PK","type":"education","lineage":["https://openalex.org/I178777954"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Samina Amin","raw_affiliation_strings":["Institute of Computing, Kohat University of Science and Technology, Kohat, Pakistan"],"raw_orcid":"https://orcid.org/0000-0003-4811-6806","affiliations":[{"raw_affiliation_string":"Institute of Computing, Kohat University of Science and Technology, Kohat, Pakistan","institution_ids":["https://openalex.org/I178777954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026532459","display_name":"Muhammad Ali Zeb","orcid":"https://orcid.org/0009-0009-3746-9308"},"institutions":[{"id":"https://openalex.org/I178777954","display_name":"Kohat University of Science and Technology","ror":"https://ror.org/057d2v504","country_code":"PK","type":"education","lineage":["https://openalex.org/I178777954"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Ali Zeb","raw_affiliation_strings":["Institute of Computing, Kohat University of Science and Technology, Kohat, Pakistan"],"raw_orcid":"https://orcid.org/0009-0009-3746-9308","affiliations":[{"raw_affiliation_string":"Institute of Computing, Kohat University of Science and Technology, Kohat, Pakistan","institution_ids":["https://openalex.org/I178777954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021274540","display_name":"Adel Sulaiman","orcid":"https://orcid.org/0000-0001-8539-7024"},"institutions":[{"id":"https://openalex.org/I47164929","display_name":"Najran University","ror":"https://ror.org/05edw4a90","country_code":"SA","type":"education","lineage":["https://openalex.org/I47164929"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Adel Sulaiman","raw_affiliation_strings":["Department Computer Science, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-8539-7024","affiliations":[{"raw_affiliation_string":"Department Computer Science, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia","institution_ids":["https://openalex.org/I47164929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076631435","display_name":"Hani Alshahrani","orcid":"https://orcid.org/0000-0002-8799-9448"},"institutions":[{"id":"https://openalex.org/I47164929","display_name":"Najran University","ror":"https://ror.org/05edw4a90","country_code":"SA","type":"education","lineage":["https://openalex.org/I47164929"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Hani Alshahrani","raw_affiliation_strings":["Department Computer Science, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-8799-9448","affiliations":[{"raw_affiliation_string":"Department Computer Science, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia","institution_ids":["https://openalex.org/I47164929"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102912690","display_name":"Asadullah Shaikh","orcid":"https://orcid.org/0000-0003-4806-6159"},"institutions":[{"id":"https://openalex.org/I47164929","display_name":"Najran University","ror":"https://ror.org/05edw4a90","country_code":"SA","type":"education","lineage":["https://openalex.org/I47164929"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Asadullah Shaikh","raw_affiliation_strings":["Department Information Systems, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-4806-6159","affiliations":[{"raw_affiliation_string":"Department Information Systems, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia","institution_ids":["https://openalex.org/I47164929"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5089107181"],"corresponding_institution_ids":["https://openalex.org/I47164929"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":37.5891,"has_fulltext":true,"cited_by_count":110,"citation_normalized_percentile":{"value":0.99799486,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"121574","last_page":"121591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9994000196456909,"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":0.9994000196456909,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9817000031471252,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9771000146865845,"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":0.7979334592819214},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.738164484500885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7247342467308044},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6465840339660645},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6421096920967102},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5701504349708557},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4900778532028198},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.44430315494537354},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.44202908873558044},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3590204119682312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34105658531188965}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7979334592819214},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.738164484500885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7247342467308044},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6465840339660645},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6421096920967102},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5701504349708557},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4900778532028198},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.44430315494537354},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.44202908873558044},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3590204119682312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34105658531188965},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3328909","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3328909","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10302290.pdf","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:597b6aa0bbc947f69e701703bed065a4","is_oa":true,"landing_page_url":"https://doaj.org/article/597b6aa0bbc947f69e701703bed065a4","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":"IEEE Access, Vol 11, Pp 121574-121591 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3328909","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3328909","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10302290.pdf","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8574762125","display_name":null,"funder_award_id":"NU/NRP/SERC/12/35","funder_id":"https://openalex.org/F4320323502","funder_display_name":"Najran University"}],"funders":[{"id":"https://openalex.org/F4320323502","display_name":"Najran University","ror":"https://ror.org/05edw4a90"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388052801.pdf","grobid_xml":"https://content.openalex.org/works/W4388052801.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1130077638","https://openalex.org/W2793384337","https://openalex.org/W2795995848","https://openalex.org/W2900794383","https://openalex.org/W2912248656","https://openalex.org/W2949767632","https://openalex.org/W2992625249","https://openalex.org/W2999503644","https://openalex.org/W3026428279","https://openalex.org/W3035142875","https://openalex.org/W3036882247","https://openalex.org/W3038010422","https://openalex.org/W3042910655","https://openalex.org/W3092745004","https://openalex.org/W3093525770","https://openalex.org/W3094595351","https://openalex.org/W3119561060","https://openalex.org/W3121644786","https://openalex.org/W3134840015","https://openalex.org/W3140854437","https://openalex.org/W3157268302","https://openalex.org/W3161569253","https://openalex.org/W3169616514","https://openalex.org/W3177781640","https://openalex.org/W3198304075","https://openalex.org/W4205853483","https://openalex.org/W4210253752","https://openalex.org/W4220812402","https://openalex.org/W4238869593","https://openalex.org/W4280492951","https://openalex.org/W4280601153","https://openalex.org/W4291745494","https://openalex.org/W4293870334","https://openalex.org/W4308500473","https://openalex.org/W4313398059","https://openalex.org/W4323033549","https://openalex.org/W4364361247","https://openalex.org/W4365812628","https://openalex.org/W4366376918","https://openalex.org/W4367031310","https://openalex.org/W4367395400","https://openalex.org/W4367679807","https://openalex.org/W4377833618","https://openalex.org/W4378651010","https://openalex.org/W4380358573","https://openalex.org/W4380930571","https://openalex.org/W4383221728"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4313906399","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Heart":[0],"Disease":[1],"(HD)":[2],"is":[3,20,103,135,265],"the":[4,7,16,34,97,130,197,214,236,262,286],"reason":[5],"for":[6],"deaths":[8],"of":[9,33,36,50,100],"18":[10],"million":[11],"people":[12],"every":[13],"year":[14],"in":[15,56,73,85,152,276],"world.":[17],"HD":[18,37,51,66,108,153,199,211,216,222,304],"prediction":[19,49,67,88,109,158,200,305],"found":[21],"to":[22,104,123,137,146,156,195,293,299,311],"be":[23,43,294],"a":[24,30,53,82,106,179,219],"challenging":[25],"issue":[26],"that":[27,39,270,285,307],"can":[28,42,308],"provide":[29],"computerized":[31],"estimate":[32],"level":[35],"so":[38],"additional":[40,190],"action":[41],"simplified.":[44],"Early":[45],"detection":[46],"and":[47,61,89,125,143,150,178,186,218,255,302,314],"accurate":[48,275],"play":[52],"critical":[54],"role":[55,84],"providing":[57],"timely":[58],"medical":[59,312],"interventions":[60],"improving":[62],"patient":[63,316],"outcomes.":[64],"Thus,":[65],"has":[68,290],"expected":[69],"massive":[70],"attention":[71],"worldwide":[72],"healthcare":[74,297],"environments.":[75],"Deep":[76,113],"Learning":[77],"(DL)":[78],"based":[79],"systems":[80,245,298],"played":[81],"significant":[83],"various":[86],"disease":[87],"diagnosis":[90,313],"with":[91,189,243],"good":[92],"efficiency.":[93],"To":[94],"this":[95,101,271],"end,":[96],"main":[98],"contribution":[99],"paper":[102],"design":[105],"robust":[107],"system":[110,238,264],"using":[111],"Hybrid":[112],"Neural":[114,167,171],"Networks":[115,168,172],"(HDNNs)":[116],"involves":[117],"combining":[118,183],"multiple":[119],"neural":[120],"network":[121],"architectures":[122],"extract":[124],"learn":[126],"relevant":[127],"features":[128],"from":[129],"input":[131],"data.":[132],"The":[133,202,257,267],"HDNN":[134,181,288],"employed":[136],"apply":[138],"its":[139,277],"feature":[140],"learning":[141],"capabilities":[142],"non-linear":[144],"technology":[145],"capture":[147],"complex":[148],"patterns":[149],"relationships":[151],"datasets,":[154,212],"leading":[155],"enhanced":[157],"accuracy.":[159],"For":[160],"this,":[161],"three":[162],"DL":[163],"models,":[164],"namely":[165],"Artificial":[166],"(ANN),":[169],"Convolutional":[170],"(CNN),":[173],"Long":[174,232],"Short-Term":[175],"Memory":[176],"(LSTM),":[177],"new":[180],"model":[182,289],"both":[184],"CNN":[185],"LSTM":[187],"along":[188],"Dense":[191],"layers":[192],"are":[193],"proposed,":[194],"develop":[196,300],"hybrid":[198],"architecture.":[201],"proposed":[203,237,263,287],"models":[204,306],"were":[205],"evaluated":[206],"on":[207],"two":[208],"publicly":[209],"available":[210],"including":[213],"Cleveland":[215,226],"dataset,":[217],"large":[220],"public":[221],"dataset":[223],"(Switzerland":[224],"+":[225,227,229,231],"Statlog":[228],"Hungarian":[230],"Beach":[233],"VA).":[234],"Additionally,":[235],"was":[239],"measured":[240],"through":[241,261],"comparison":[242],"conventional":[244],"concerning":[246],"sensitivity,":[247],"Matthews":[248],"Correlation":[249],"Coefficient":[250],"(MCC),":[251],"F1-measure,":[252],"accuracy,":[253],"precision,":[254],"specificity.":[256],"promising":[258],"accuracy":[259],"achieved":[260],"98.86%.":[266],"results":[268],"demonstrated":[269],"approach":[272],"proved":[273],"more":[274],"predictions":[278],"than":[279],"previous":[280],"research.":[281],"These":[282],"outcomes":[283],"suggest":[284],"great":[291],"potential":[292],"embedded":[295],"into":[296],"advanced":[301],"reliable":[303],"significantly":[309],"contribute":[310],"improve":[315],"care.":[317]},"counts_by_year":[{"year":2026,"cited_by_count":18},{"year":2025,"cited_by_count":53},{"year":2024,"cited_by_count":36},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-16T08:24:45.110214","created_date":"2025-10-10T00:00:00"}
