{"id":"https://openalex.org/W3115435886","doi":"https://doi.org/10.1109/ictc49870.2020.9289522","title":"A Comparison of Oversampling Methods for Constructing a Prognostic Model in the Patient with Heart Failure","display_name":"A Comparison of Oversampling Methods for Constructing a Prognostic Model in the Patient with Heart Failure","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3115435886","doi":"https://doi.org/10.1109/ictc49870.2020.9289522","mag":"3115435886"},"language":"en","primary_location":{"id":"doi:10.1109/ictc49870.2020.9289522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc49870.2020.9289522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5103092454","display_name":"Young\u2010Tak Kim","orcid":"https://orcid.org/0000-0002-2126-8503"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Young-Tak Kim","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377982","display_name":"Dong-Kyu Kim","orcid":"https://orcid.org/0000-0003-2442-760X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-Kyu Kim","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009302215","display_name":"Hakseung Kim","orcid":"https://orcid.org/0000-0001-5407-293X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hakseung Kim","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101947623","display_name":"Dong\u2010Joo Kim","orcid":"https://orcid.org/0000-0002-0988-2236"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-Joo Kim","raw_affiliation_strings":["Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103092454"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":1.9418,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88587644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"379","last_page":"383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10198","display_name":"Heart Failure Treatment and Management","score":0.9947999715805054,"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"}},"topics":[{"id":"https://openalex.org/T10198","display_name":"Heart Failure Treatment and Management","score":0.9947999715805054,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9894999861717224,"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/T10292","display_name":"Acute Myocardial Infarction Research","score":0.9595999717712402,"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":0.981594979763031},{"id":"https://openalex.org/keywords/heart-failure","display_name":"Heart failure","score":0.6795218586921692},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5953124165534973},{"id":"https://openalex.org/keywords/prognostic-model","display_name":"Prognostic model","score":0.5706332325935364},{"id":"https://openalex.org/keywords/ejection-fraction","display_name":"Ejection fraction","score":0.5230996608734131},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.4499642550945282},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.39932066202163696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3947536051273346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35986292362213135},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33600670099258423},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33492225408554077},{"id":"https://openalex.org/keywords/overall-survival","display_name":"Overall survival","score":0.2918940782546997},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.08549249172210693}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.981594979763031},{"id":"https://openalex.org/C2778198053","wikidata":"https://www.wikidata.org/wiki/Q181754","display_name":"Heart failure","level":2,"score":0.6795218586921692},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5953124165534973},{"id":"https://openalex.org/C2993277928","wikidata":"https://www.wikidata.org/wiki/Q7248370","display_name":"Prognostic model","level":3,"score":0.5706332325935364},{"id":"https://openalex.org/C78085059","wikidata":"https://www.wikidata.org/wiki/Q641303","display_name":"Ejection fraction","level":3,"score":0.5230996608734131},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.4499642550945282},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.39932066202163696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3947536051273346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35986292362213135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33600670099258423},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33492225408554077},{"id":"https://openalex.org/C3019894029","wikidata":"https://www.wikidata.org/wiki/Q332823","display_name":"Overall survival","level":2,"score":0.2918940782546997},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.08549249172210693},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc49870.2020.9289522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc49870.2020.9289522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W49700977","https://openalex.org/W2001246657","https://openalex.org/W2018296348","https://openalex.org/W2051401466","https://openalex.org/W2079074897","https://openalex.org/W2095649738","https://openalex.org/W2104933073","https://openalex.org/W2119340816","https://openalex.org/W2132791018","https://openalex.org/W2137784332","https://openalex.org/W2148143831","https://openalex.org/W2155806188","https://openalex.org/W2156280121","https://openalex.org/W2292493149","https://openalex.org/W2322454308","https://openalex.org/W2334028018","https://openalex.org/W2594341951","https://openalex.org/W2739315321","https://openalex.org/W2746820926","https://openalex.org/W2772832743","https://openalex.org/W2894773715","https://openalex.org/W2921001223","https://openalex.org/W3012665221","https://openalex.org/W6675634716"],"related_works":["https://openalex.org/W2891746874","https://openalex.org/W2481234813","https://openalex.org/W1971710084","https://openalex.org/W2072108749","https://openalex.org/W3215345242","https://openalex.org/W4390348475","https://openalex.org/W2028196543","https://openalex.org/W2920829402","https://openalex.org/W2953675148","https://openalex.org/W3115435886"],"abstract_inverted_index":{"Heart":[0,114],"failure":[1],"(HF)":[2],"is":[3,57,64,232],"the":[4,12,44,47,146,149,155,180,188,193,201,233],"terminal":[5],"stage":[6],"of":[7,15,46,78,135,161,174,205],"all":[8,214],"heart":[9],"disease":[10],"and":[11,68,89,118,222],"leading":[13],"cause":[14],"mortality.":[16],"A":[17],"reliable":[18],"prognostic":[19,48,97,150,195],"model":[20,49,167],"for":[21,99,237],"predicting":[22],"mortality":[23,160,243],"in":[24,34,66,95,145,244],"patients":[25,104,162],"with":[26,132,163,227],"HF":[27,100,245],"can":[28],"help":[29],"to":[30,42,111,158,187,241],"support":[31],"better":[32],"decisions":[33],"clinical":[35],"practice.":[36],"Many":[37],"attempts":[38],"have":[39],"been":[40],"made":[41],"increase":[43],"reliability":[45],"using":[50],"electronic":[51],"health":[52],"record":[53],"(EHR),":[54],"but":[55],"it":[56],"still":[58],"not":[59],"known":[60],"which":[61],"oversampling":[62,80,85,141,169,177,202,216,238],"method":[63,170,178],"efficient":[65],"imbalanced":[67],"insufficient":[69],"EHR":[70,239],"dataset.":[71],"This":[72],"study":[73],"performed":[74],"a":[75],"comparative":[76],"analysis":[77],"renowned":[79],"methods":[81,142,203],"(i.e.,":[82],"synthetic":[83,91],"minority":[84],"technique":[86],"(SMOTE),":[87],"borderline-SMOTE,":[88],"adaptive":[90],"(ADASYN)":[92],"sampling":[93],"techniques)":[94],"constructing":[96],"models":[98,151],"patients.":[101,246],"All":[102],"299":[103],"had":[105],"left":[106],"ventricular":[107],"systolic":[108],"dysfunction,":[109],"belonging":[110],"New":[112],"York":[113],"Association":[115],"class":[116],"III":[117],"IV":[119],"(Survival":[120],"=":[121,124,198,208,211],"203,":[122],"Deceased":[123],"96).":[125],"Follow":[126],"up":[127],"time":[128],"was":[129],"4-285":[130],"days":[131],"an":[133,172],"average":[134],"130":[136],"days.":[137],"The":[138,165,176],"above":[139],"three":[140,215],"were":[143,152,224],"compared":[144,186],"case":[147],"where":[148],"constructed":[153],"by":[154,182],"random":[156],"forest":[157],"predict":[159,242],"HF.":[164],"baseline":[166,189],"without":[168],"showed":[171,192],"F-score":[173,181],"0.55.":[175],"improved":[179],"0.05":[183],"or":[184],"more":[185],"model.":[190],"SMOTE":[191,207,231],"highest":[194],"capacity":[196],"(F-score":[197,204],"0.63)":[199],"among":[200],"borderline":[206],"0.60,":[209],"ADASYN":[210],"0.62).":[212],"In":[213],"methods,":[217],"ejection":[218],"fraction,":[219],"serum":[220],"creatinine,":[221],"age":[223],"consistently":[225],"observed":[226],"high":[228],"importance.":[229],"Consequently,":[230],"most":[234],"adequate":[235],"algorithm":[236],"data":[240]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}