{"id":"https://openalex.org/W2979103454","doi":"https://doi.org/10.1109/iccchina.2019.8855897","title":"A High Accuracy Integrated Bagging-Fuzzy-GBDT Prediction Algorithm for Heart Disease Diagnosis","display_name":"A High Accuracy Integrated Bagging-Fuzzy-GBDT Prediction Algorithm for Heart Disease Diagnosis","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2979103454","doi":"https://doi.org/10.1109/iccchina.2019.8855897","mag":"2979103454"},"language":"en","primary_location":{"id":"doi:10.1109/iccchina.2019.8855897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccchina.2019.8855897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CIC International Conference on Communications in China (ICCC)","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/A5015140613","display_name":"Xiaoming Yuan","orcid":"https://orcid.org/0000-0001-8006-364X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoming Yuan","raw_affiliation_strings":["Qinhuangdao Branch Campus, Northeastern University, Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"Qinhuangdao Branch Campus, Northeastern University, Qinhuangdao, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100706452","display_name":"Xue Wang","orcid":"https://orcid.org/0000-0002-7931-7347"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Wang","raw_affiliation_strings":["Qinhuangdao Branch Campus, Northeastern University, Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"Qinhuangdao Branch Campus, Northeastern University, Qinhuangdao, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101142357","display_name":"Jianchao Han","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianchao Han","raw_affiliation_strings":["Qinhuangdao Branch Campus, Northeastern University, Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"Qinhuangdao Branch Campus, Northeastern University, Qinhuangdao, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110578135","display_name":"Jiemin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiemin Liu","raw_affiliation_strings":["Qinhuangdao Branch Campus, Northeastern University, Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"Qinhuangdao Branch Campus, Northeastern University, Qinhuangdao, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367987","display_name":"Haiyan Chen","orcid":"https://orcid.org/0000-0002-8565-6417"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyan Chen","raw_affiliation_strings":["Qinhuangdao Branch Campus, Northeastern University, Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"Qinhuangdao Branch Campus, Northeastern University, Qinhuangdao, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736887","display_name":"Kuan Zhang","orcid":"https://orcid.org/0000-0002-4262-153X"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kuan Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Omaha, NE, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Omaha, NE, USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100417960","display_name":"Qiang Ye","orcid":"https://orcid.org/0000-0002-8208-6295"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Qiang Ye","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5015140613"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":3.6493,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.93944738,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"467","last_page":"471"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9196000099182129,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9088000059127808,"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":0.6839748620986938},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6030552983283997},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5848406553268433},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5817793011665344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5384082794189453},{"id":"https://openalex.org/keywords/heart-disease","display_name":"Heart disease","score":0.5139829516410828},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.4482738971710205},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4462927579879761},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4460768699645996},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43953919410705566},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4180559515953064},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16853487491607666},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.09353217482566833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6839748620986938},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6030552983283997},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5848406553268433},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5817793011665344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5384082794189453},{"id":"https://openalex.org/C2780074459","wikidata":"https://www.wikidata.org/wiki/Q389735","display_name":"Heart disease","level":2,"score":0.5139829516410828},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.4482738971710205},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4462927579879761},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4460768699645996},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43953919410705566},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4180559515953064},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16853487491607666},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09353217482566833}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccchina.2019.8855897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccchina.2019.8855897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CIC International Conference on Communications in China (ICCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2049768409","https://openalex.org/W2056564612","https://openalex.org/W2147273498","https://openalex.org/W2580216878","https://openalex.org/W2585385891","https://openalex.org/W2751049114","https://openalex.org/W2768348081","https://openalex.org/W2784110897","https://openalex.org/W2791093449","https://openalex.org/W2793685318","https://openalex.org/W2799947440","https://openalex.org/W2802718697","https://openalex.org/W2900426044","https://openalex.org/W6745609711","https://openalex.org/W6751962055"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W1549363203","https://openalex.org/W4231274751","https://openalex.org/W3108206494","https://openalex.org/W2739726746","https://openalex.org/W4242380336","https://openalex.org/W2141272333","https://openalex.org/W4224262160","https://openalex.org/W4385770464"],"abstract_inverted_index":{"Associated":[0],"with":[1,117,163],"high":[2,73],"morbidity":[3],"and":[4,27,38,54,65,85,105,141,156],"mortality,":[5],"heart":[6,41,45,79,102,159],"disease":[7,46,51,80,103,160],"has":[8],"become":[9],"a":[10,72],"severe":[11],"threat":[12],"to":[13,34,100,119,134],"peoples":[14],"health":[15],"throughout":[16],"the":[17,35,44,114,121,128,136,149,154],"world.":[18],"The":[19,82,145],"recent":[20],"development":[21],"of":[22,24,40,123,138,158],"Internet":[23],"Things":[25],"(IoT)":[26],"machine":[28],"learning":[29],"in":[30,63],"e-healthcare":[31],"have":[32],"contributed":[33],"monitoring,":[36],"prediction":[37,47,59,76,161],"diagnosis":[39,53],"disease.":[42],"Particularly,":[43],"can":[48],"effectively":[49],"facilitate":[50],"prevention,":[52],"timely":[55],"treatment.":[56],"However,":[57],"traditional":[58],"models":[60],"are":[61,98],"weak":[62,108],"accuracy":[64,74,155],"generalization.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70,112,126],"propose":[71],"integrated":[75,131],"algorithm":[77,89,97,133,152],"for":[78],"diagnosis.":[81],"fuzzy":[83,115],"logic":[84,116],"Bootstrap":[86],"Aggregating":[87],"(Bagging)":[88],"based":[90],"on":[91],"Gradient":[92],"Boosting":[93],"Decision":[94],"Tree":[95],"(GBDT)":[96],"combined":[99],"process":[101],"data":[104],"generate":[106],"multiple":[107],"classifiers.":[109],"At":[110],"first,":[111],"integrate":[113],"GBDT":[118],"reduce":[120],"complexity":[122],"data.":[124],"Moreover,":[125],"develop":[127],"Fuzzy-GBDT":[129],"model":[130],"Bagging":[132],"avoid":[135],"interference":[137],"sensitive":[139],"points":[140],"achieve":[142],"partial":[143],"parallelism.":[144],"simulation":[146],"results":[147],"show":[148],"proposed":[150],"Fuzzy-Bagging-GBDT":[151],"improves":[153],"recall":[157],"compared":[162],"GBDT.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-02-14T06:23:00.392402","created_date":"2025-10-10T00:00:00"}