{"id":"https://openalex.org/W4413318069","doi":"https://doi.org/10.1088/2632-2153/adfd39","title":"Heart disease prediction by tabular modeling with deep learning network and interpretability","display_name":"Heart disease prediction by tabular modeling with deep learning network and interpretability","publication_year":2025,"publication_date":"2025-08-19","ids":{"openalex":"https://openalex.org/W4413318069","doi":"https://doi.org/10.1088/2632-2153/adfd39"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/adfd39","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/adfd39","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1088/2632-2153/adfd39","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034042225","display_name":"Mohammad H. Alshayeji","orcid":"https://orcid.org/0000-0003-4151-5708"},"institutions":[{"id":"https://openalex.org/I2799345387","display_name":"Kuwait Petroleum Corporation (Kuwait)","ror":"https://ror.org/04wacmk20","country_code":"KW","type":"company","lineage":["https://openalex.org/I2799345387"]},{"id":"https://openalex.org/I36721946","display_name":"Kuwait University","ror":"https://ror.org/021e5j056","country_code":"KW","type":"education","lineage":["https://openalex.org/I36721946"]}],"countries":["KW"],"is_corresponding":false,"raw_author_name":"Mohammad H Alshayeji","raw_affiliation_strings":["Computer Engineering Department, College of Engineering and Petroleum, Kuwait University, PO Box 5969, Kuwait City 13060, Safat, Kuwait"],"raw_orcid":"https://orcid.org/0000-0003-4151-5708","affiliations":[{"raw_affiliation_string":"Computer Engineering Department, College of Engineering and Petroleum, Kuwait University, PO Box 5969, Kuwait City 13060, Safat, Kuwait","institution_ids":["https://openalex.org/I2799345387","https://openalex.org/I36721946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041607429","display_name":"Sa\u2019ed Abed","orcid":"https://orcid.org/0000-0003-1849-9316"},"institutions":[{"id":"https://openalex.org/I2799345387","display_name":"Kuwait Petroleum Corporation (Kuwait)","ror":"https://ror.org/04wacmk20","country_code":"KW","type":"company","lineage":["https://openalex.org/I2799345387"]},{"id":"https://openalex.org/I36721946","display_name":"Kuwait University","ror":"https://ror.org/021e5j056","country_code":"KW","type":"education","lineage":["https://openalex.org/I36721946"]}],"countries":["KW"],"is_corresponding":false,"raw_author_name":"Sa\u2019ed Abed","raw_affiliation_strings":["Computer Engineering Department, College of Engineering and Petroleum, Kuwait University, PO Box 5969, Kuwait City 13060, Safat, Kuwait"],"raw_orcid":"https://orcid.org/0000-0003-1849-9316","affiliations":[{"raw_affiliation_string":"Computer Engineering Department, College of Engineering and Petroleum, Kuwait University, PO Box 5969, Kuwait City 13060, Safat, Kuwait","institution_ids":["https://openalex.org/I2799345387","https://openalex.org/I36721946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":1.7727,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89586769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"6","issue":"3","first_page":"035043","last_page":"035043"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.878600001335144,"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":0.878600001335144,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9512866139411926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6141843199729919},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5984957814216614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.538591742515564},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.46581578254699707},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45323821902275085},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2878625988960266},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2619767189025879}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9512866139411926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6141843199729919},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5984957814216614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.538591742515564},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.46581578254699707},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45323821902275085},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2878625988960266},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2619767189025879}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/2632-2153/adfd39","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/adfd39","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b0c8aa12630e482f80ce43bd7c3c4f60","is_oa":true,"landing_page_url":"https://doaj.org/article/b0c8aa12630e482f80ce43bd7c3c4f60","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":"Machine Learning: Science and Technology, Vol 6, Iss 3, p 035043 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/adfd39","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/adfd39","pdf_url":null,"source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W658977683","https://openalex.org/W2949767632","https://openalex.org/W2962862931","https://openalex.org/W3022298391","https://openalex.org/W3025329028","https://openalex.org/W3092745004","https://openalex.org/W3094608477","https://openalex.org/W3120846667","https://openalex.org/W3134848424","https://openalex.org/W3185516026","https://openalex.org/W3202428668","https://openalex.org/W4200602311","https://openalex.org/W4221058841","https://openalex.org/W4224283026","https://openalex.org/W4280634468","https://openalex.org/W4289277715","https://openalex.org/W4310235714","https://openalex.org/W4319440851","https://openalex.org/W4319764653","https://openalex.org/W4327938303","https://openalex.org/W4365514613","https://openalex.org/W4365517060","https://openalex.org/W4366086722","https://openalex.org/W4367692322","https://openalex.org/W4386002850","https://openalex.org/W4387045633","https://openalex.org/W4389847575","https://openalex.org/W4389966962","https://openalex.org/W4390506881","https://openalex.org/W4390511527","https://openalex.org/W4391821278","https://openalex.org/W4392095684","https://openalex.org/W4392499280","https://openalex.org/W4392823861","https://openalex.org/W4394854218","https://openalex.org/W4400351072","https://openalex.org/W4401210426","https://openalex.org/W4403390442","https://openalex.org/W4403512549","https://openalex.org/W4403601539","https://openalex.org/W4405734890","https://openalex.org/W6907522786"],"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/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W4387369504","https://openalex.org/W3082895349"],"abstract_inverted_index":{"Abstract":[0],"Cardiovascular":[1],"disease":[2,54,91,173],"remains":[3,56],"one":[4],"of":[5,10,30,179],"the":[6,14,27,72,124,151,177,187],"most":[7],"prevalent":[8],"causes":[9],"mortality":[11],"globally,":[12],"underscoring":[13],"critical":[15,188],"necessity":[16],"for":[17,21,52,89,137,190],"precise":[18],"predictive":[19,87,113,147],"models":[20,38,59],"early":[22],"detection":[23],"and":[24,39,96,115,122,140,161],"intervention.":[25],"Despite":[26],"proven":[28],"potential":[29],"machine":[31],"learning":[32,36],"(ML),":[33],"including":[34],"deep":[35],"(DL)":[37],"convolutional":[40],"neural":[41],"networks":[42],"(CNNs),":[43],"in":[44,67,193],"healthcare,":[45],"their":[46,65],"application":[47,66],"to":[48,79,110,120,181],"structured":[49,182],"tabular":[50,93,138,183],"datasets":[51],"heart":[53,90,172],"prediction":[55,174],"limited.":[57],"Existing":[58],"often":[60],"lack":[61],"interpretability,":[62],"which":[63],"hinders":[64],"clinical":[68],"settings,":[69],"where":[70],"understanding":[71],"decision-making":[73],"process":[74],"is":[75],"vital.":[76],"In":[77],"response":[78],"this,":[80],"our":[81],"study":[82],"proposes":[83],"an":[84,98],"innovative":[85],"CNN-based":[86],"model":[88,116,191],"utilizing":[92],"modeling":[94],"techniques":[95],"incorporating":[97],"interpretability":[99,192],"tool":[100],"such":[101],"as":[102],"SHapley":[103],"Additive":[104],"exPlanations":[105],"(SHAP).":[106],"The":[107,127,143],"aim":[108],"was":[109],"enhance":[111],"both":[112],"accuracy":[114],"transparency,":[117],"empowering":[118],"clinicians":[119],"comprehend":[121],"trust":[123],"model\u2019s":[125],"decisions.":[126],"methodology":[128],"included":[129],"data":[130],"preprocessing,":[131],"designing":[132],"a":[133],"CNN":[134],"architecture":[135],"tailored":[136],"data,":[139],"integrating":[141],"SHAP.":[142],"results":[144],"showed":[145],"superior":[146],"performance":[148],"compared":[149],"with":[150,154],"baseline":[152],"models,":[153],"98.54%":[155],"accuracy,":[156],"97.14%":[157],"sensitivity,":[158],"100%":[159],"specificity,":[160],"SHAP,":[162],"providing":[163],"valuable":[164],"insights":[165],"into":[166],"feature":[167],"importance.":[168],"This":[169],"research":[170],"advances":[171],"by":[175],"harnessing":[176],"adaptability":[178],"CNNs":[180],"datasets,":[184],"while":[185],"addressing":[186],"need":[189],"healthcare":[194],"applications.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
