{"id":"https://openalex.org/W4388738152","doi":"https://doi.org/10.1145/3606043.3606061","title":"A Voting Ensemble-based Model to Predict the Risk of Cardiovascular Disease in Ordinary People","display_name":"A Voting Ensemble-based Model to Predict the Risk of Cardiovascular Disease in Ordinary People","publication_year":2023,"publication_date":"2023-06-17","ids":{"openalex":"https://openalex.org/W4388738152","doi":"https://doi.org/10.1145/3606043.3606061"},"language":"en","primary_location":{"id":"doi:10.1145/3606043.3606061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606043.3606061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications","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/A5082078120","display_name":"Huilin Zheng","orcid":"https://orcid.org/0000-0002-5126-4984"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Huilin Zheng","raw_affiliation_strings":["Department of Computer Science, Chungbuk National University, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-5126-4984","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chungbuk National University, South Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010316544","display_name":"Syed Waseem Abbas Sherazi","orcid":"https://orcid.org/0000-0002-2453-4571"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Syed Waseem Abbas Sherazi","raw_affiliation_strings":["Department of Computer Science, Chungbuk National University, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-2453-4571","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chungbuk National University, South Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075484961","display_name":"Saba Arif","orcid":"https://orcid.org/0000-0003-4422-4228"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Saba Arif","raw_affiliation_strings":["Department of Computer Science, Chungbuk National University, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-4422-4228","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chungbuk National University, South Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032137318","display_name":"Myung Jin Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myung Jin Lee","raw_affiliation_strings":["Department of Management Information Systems, Chungbuk National University, South Korea"],"raw_orcid":"https://orcid.org/0009-0004-6617-8423","affiliations":[{"raw_affiliation_string":"Department of Management Information Systems, Chungbuk National University, South Korea","institution_ids":["https://openalex.org/I163753206"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049471995","display_name":"Jong Yun Lee","orcid":"https://orcid.org/0000-0001-5526-946X"},"institutions":[{"id":"https://openalex.org/I163753206","display_name":"Chungbuk National University","ror":"https://ror.org/02wnxgj78","country_code":"KR","type":"education","lineage":["https://openalex.org/I163753206"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong Yun Lee","raw_affiliation_strings":["Department of Computer Science, Chungbuk National University, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-5526-946X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chungbuk National University, South Korea","institution_ids":["https://openalex.org/I163753206"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I163753206"],"apc_list":null,"apc_paid":null,"fwci":0.6371,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78950051,"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":"127","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9908999800682068,"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":0.9908999800682068,"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":0.9638000130653381,"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9114999771118164,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative 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":0.6380550861358643},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.6229347586631775},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5827549695968628},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5793469548225403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5395829081535339},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5004675388336182},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.49690869450569153},{"id":"https://openalex.org/keywords/weighted-voting","display_name":"Weighted voting","score":0.46446436643600464},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.45475757122039795},{"id":"https://openalex.org/keywords/database-normalization","display_name":"Database normalization","score":0.45444047451019287},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4506179094314575},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.4459562301635742},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.44355595111846924},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43946707248687744},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4321300983428955},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.411819189786911},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.31732505559921265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6380550861358643},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.6229347586631775},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5827549695968628},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5793469548225403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5395829081535339},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5004675388336182},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.49690869450569153},{"id":"https://openalex.org/C132778050","wikidata":"https://www.wikidata.org/wiki/Q2065430","display_name":"Weighted voting","level":4,"score":0.46446436643600464},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.45475757122039795},{"id":"https://openalex.org/C162984825","wikidata":"https://www.wikidata.org/wiki/Q339072","display_name":"Database normalization","level":3,"score":0.45444047451019287},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4506179094314575},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.4459562301635742},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.44355595111846924},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43946707248687744},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4321300983428955},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.411819189786911},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31732505559921265},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3606043.3606061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606043.3606061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.800000011920929,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1602443498","https://openalex.org/W1993220166","https://openalex.org/W2008056655","https://openalex.org/W2107686700","https://openalex.org/W2148143831","https://openalex.org/W2165884492","https://openalex.org/W2911170340","https://openalex.org/W2922187519","https://openalex.org/W3005895773","https://openalex.org/W3121216533","https://openalex.org/W3168222379","https://openalex.org/W3185676931","https://openalex.org/W4226415810","https://openalex.org/W4234971943","https://openalex.org/W4281790554"],"related_works":["https://openalex.org/W4382315444","https://openalex.org/W4233259193","https://openalex.org/W2600353413","https://openalex.org/W4390916549","https://openalex.org/W2915435096","https://openalex.org/W4381298925","https://openalex.org/W4285213578","https://openalex.org/W2097856925","https://openalex.org/W1997565450","https://openalex.org/W2104246955"],"abstract_inverted_index":{"The":[0],"heart,":[1],"as":[2,128,169],"the":[3,46,61,73,77,99,103,107,147,151,155,178,189,195,208,211,218,226,232,236,249],"main":[4],"organ":[5],"of":[6,24,48,58,122,238,251],"our":[7,18],"human":[8],"body,":[9],"plays":[10],"an":[11],"important":[12],"role":[13],"in":[14,50,150,253],"pumping":[15],"blood":[16],"through":[17],"body.":[19],"Early":[20],"prevention":[21],"and":[22,65,70,86,113,138,175,185,198,244,256],"prediction":[23,43,158,215,261],"cardiovascular":[25],"disease":[26],"(CVD)":[27],"can":[28],"save":[29],"more":[30],"lives,":[31],"especially":[32],"for":[33,45,102,248],"ordinary":[34,51,254],"people.":[35,52],"Hence,":[36],"this":[37],"study":[38],"proposes":[39],"a":[40],"voting":[41,156,213],"ensemble-based":[42,157,214],"model":[44,159,191,216],"risk":[47,250],"CVD":[49,252],"We":[53],"first":[54],"integrate":[55],"2":[56],"years":[57],"data":[59,79,87,108,112,124,181,197],"from":[60],"Korea":[62],"National":[63],"Health":[64],"Nutrition":[66],"Examination":[67],"Survey":[68],"(KNHANES)":[69],"then":[71,105],"extract":[72],"experimental":[74,209],"data.":[75,116,153],"Thereafter,":[76],"extracted":[78],"is":[80,94,160,192],"preprocessed":[81],"with":[82,182,200,217,235],"missing":[83],"value":[84],"imputation":[85],"normalization.":[88],"A":[89],"filter-based":[90,227],"feature":[91,228],"selection":[92,229],"approach":[93,230],"also":[95],"applied":[96],"to":[97,145],"select":[98],"efficient":[100],"attributes":[101],"experiment,":[104],"split":[106],"into":[109],"training":[110,152,180],"(80%)":[111],"test":[114,196],"(20%)":[115],"Thenceforth,":[117],"we":[118],"use":[119],"two":[120],"kinds":[121],"hybrid":[123],"sampling":[125],"techniques":[126,132],"such":[127,168],"synthetic":[129],"minority":[130],"oversampling":[131],"(SMOTE)":[133],"plus":[134,140],"Tomek":[135],"Links":[136],"(SMOTETomek)":[137],"SMOTE":[139],"Edited":[141],"Nearest":[142],"Neighbors":[143],"(SMOTEENN)":[144],"solve":[146],"imbalance":[148],"issue":[149],"Next,":[154],"designed":[161],"based":[162],"on":[163,177,194,221],"different":[164],"machine":[165,204,259],"learning":[166],"algorithms":[167],"logistic":[170],"regression,":[171],"support":[172],"vector":[173],"machine,":[174],"AdaBoost":[176],"balanced":[179],"selected":[183,222],"features":[184,223],"complete":[186],"features.":[187],"Lastly,":[188],"proposed":[190,212],"evaluated":[193],"compared":[199],"other":[201,258],"popularly":[202],"used":[203],"learning-based":[205,260],"models.":[206,262],"In":[207],"results,":[210],"SMOTEENN":[219],"technique":[220],"by":[224],"using":[225],"achieved":[231],"best":[233],"performance":[234],"accuracy":[237],"0.8102,":[239,241,243,246],"recall":[240],"g-mean":[242],"AUC":[245],"respectively":[247],"people":[255],"outperformed":[257]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
