{"id":"https://openalex.org/W4391129930","doi":"https://doi.org/10.1109/ic-nidc59918.2023.10390693","title":"Heart Disease Prediction with 100% Accuracy, Using Machine Learning: Performance Improvement with Features Selection and Sampling","display_name":"Heart Disease Prediction with 100% Accuracy, Using Machine Learning: Performance Improvement with Features Selection and Sampling","publication_year":2023,"publication_date":"2023-11-03","ids":{"openalex":"https://openalex.org/W4391129930","doi":"https://doi.org/10.1109/ic-nidc59918.2023.10390693"},"language":"en","primary_location":{"id":"doi:10.1109/ic-nidc59918.2023.10390693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic-nidc59918.2023.10390693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034424996","display_name":"Fahad Sabah","orcid":"https://orcid.org/0000-0003-1558-2616"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4210100043","display_name":"Superior University","ror":"https://ror.org/00yh88643","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210100043"]}],"countries":["CN","PK"],"is_corresponding":true,"raw_author_name":"Fahad Sabah","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124","Faculty of Computer Science & Information Technology, Superior University, Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Computer Science & Information Technology, Superior University, Lahore, Pakistan","institution_ids":["https://openalex.org/I4210100043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428108","display_name":"Yuwen Chen","orcid":"https://orcid.org/0000-0001-6414-9697"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwen Chen","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101558778","display_name":"Zhen Yang","orcid":"https://orcid.org/0000-0003-2487-1305"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Yang","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002886462","display_name":"Abdul Raheem","orcid":"https://orcid.org/0000-0001-8159-520X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Abdul Raheem","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054814512","display_name":"Muhammad Azam","orcid":"https://orcid.org/0000-0001-6723-9401"},"institutions":[{"id":"https://openalex.org/I4210100043","display_name":"Superior University","ror":"https://ror.org/00yh88643","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210100043"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Azam","raw_affiliation_strings":["Superior University,Faculty of Computer Science & Information Technology,Lahore,Pakistan"],"affiliations":[{"raw_affiliation_string":"Superior University,Faculty of Computer Science & Information Technology,Lahore,Pakistan","institution_ids":["https://openalex.org/I4210100043"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108768608","display_name":"Raheem Sarwar","orcid":null},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Raheem Sarwar","raw_affiliation_strings":["Manchester Metropolitan University,OTEHM,Manchester,United Kingdom","OTEHM, Manchester Metropolitan University, Manchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Manchester Metropolitan University,OTEHM,Manchester,United Kingdom","institution_ids":["https://openalex.org/I11983389"]},{"raw_affiliation_string":"OTEHM, Manchester Metropolitan University, Manchester, United Kingdom","institution_ids":["https://openalex.org/I11983389"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5034424996"],"corresponding_institution_ids":["https://openalex.org/I37796252","https://openalex.org/I4210100043"],"apc_list":null,"apc_paid":null,"fwci":0.7517,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81276538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"41","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9984999895095825,"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":0.9984999895095825,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9922999739646912,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9387999773025513,"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/oversampling","display_name":"Oversampling","score":0.9562349319458008},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7516440749168396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7315889000892639},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7214193940162659},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7076038122177124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7009723782539368},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6459314823150635},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6295363903045654},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5382944941520691},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46222129464149475},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.451151043176651},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.4115780293941498},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3533264398574829},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09430578351020813}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.9562349319458008},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7516440749168396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7315889000892639},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7214193940162659},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7076038122177124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7009723782539368},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6459314823150635},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6295363903045654},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5382944941520691},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46222129464149475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.451151043176651},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.4115780293941498},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3533264398574829},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09430578351020813},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic-nidc59918.2023.10390693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic-nidc59918.2023.10390693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5799999833106995}],"awards":[{"id":"https://openalex.org/G2428307698","display_name":null,"funder_award_id":"2022YFB3103100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2900794383","https://openalex.org/W2908285635","https://openalex.org/W2963613787","https://openalex.org/W2965743638","https://openalex.org/W3014524176","https://openalex.org/W3121216533","https://openalex.org/W3134537993","https://openalex.org/W3137540880","https://openalex.org/W3161616846","https://openalex.org/W3178568195","https://openalex.org/W4221155428","https://openalex.org/W4225407267","https://openalex.org/W4281656136","https://openalex.org/W4289886783","https://openalex.org/W4296803565","https://openalex.org/W4312260933","https://openalex.org/W4315750598","https://openalex.org/W4320728990","https://openalex.org/W4362647478","https://openalex.org/W4362674912","https://openalex.org/W4366992038"],"related_works":["https://openalex.org/W4401045170","https://openalex.org/W3172259201","https://openalex.org/W2903618681","https://openalex.org/W3184937791","https://openalex.org/W4401052546","https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W1517228774","https://openalex.org/W2767419625","https://openalex.org/W2389704471"],"abstract_inverted_index":{"Heart":[0],"diseases":[1],"are":[2],"commonly":[3],"diagnosed":[4],"by":[5,172],"using":[6,43,173],"the":[7,24,40,96,112,130,137,163,181],"technique":[8],"of;":[9],"angiography":[10],"which":[11,122],"is":[12,123],"time":[13],"consuming":[14],"procedure.":[15],"Therefore,":[16],"researchers":[17],"have":[18,55,89,158],"been":[19,56,90,134,159],"encouraged":[20],"to":[21,38,61,118,145,161,179],"find":[22],"out":[23],"alternatives":[25],"like;":[26,176],"machine":[27],"learning":[28],"(ML).":[29],"In":[30,92,127],"this":[31,59,128,154,167],"research":[32,60],"work,":[33],"we":[34,143],"present":[35],"a":[36],"method":[37],"predict":[39],"heart":[41,76],"disease":[42,77],"correlation":[44],"based":[45],"on":[46,136],"feature":[47,149],"subset":[48],"selection":[49,132,150],"and":[50,63,72,83],"sampling.":[51],"Different":[52],"ML":[53],"algorithms":[54,117],"used":[57,160],"in":[58,141,147,153],"model":[62,108],"cross":[64,156],"validate.":[65],"The":[66],"dataset":[67],"consists":[68],"of":[69,75,94,115,139,165],"14":[70],"features":[71,131],"1000":[73],"records":[74],"patients.":[78],"Two":[79],"sampling":[80],"techniques;":[81],"Oversampling":[82],"Synthetic":[84],"Minority":[85],"Optimization":[86],"Technique":[87],"(SMOTE)":[88],"used.":[91],"case":[93],"oversampling,":[95],"Random":[97],"Forest":[98],"(RF)":[99],"algorithm":[100],"achieved":[101],"highest":[102],"prediction":[103,113],"accuracy":[104,114],"i.e.,":[105],"99.20%.":[106],"Proposed":[107],"with":[109],"SMOTE":[110],"improved":[111,125],"all":[116],"100%":[119],"except":[120],"k-nn,":[121],"also":[124],"18.16%.":[126],"study":[129,155],"has":[133],"made":[135],"basis":[138],"correlation,":[140],"future":[142],"plan":[144],"tap":[146],"other":[148,174],"methodologies.":[151],"Furthermore":[152],"validation":[157],"address":[162,180],"issue":[164],"over-fitting,":[166],"work":[168],"can":[169],"be":[170],"extended":[171],"techniques":[175],"Federated":[177],"Learning":[178],"subjected":[182],"problem.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}