{"id":"https://openalex.org/W4416354442","doi":"https://doi.org/10.1002/sam.70051","title":"Copula\u2010Based Deep Learning Models for Competing Risks","display_name":"Copula\u2010Based Deep Learning Models for Competing Risks","publication_year":2025,"publication_date":"2025-11-19","ids":{"openalex":"https://openalex.org/W4416354442","doi":"https://doi.org/10.1002/sam.70051"},"language":"en","primary_location":{"id":"doi:10.1002/sam.70051","is_oa":true,"landing_page_url":"https://doi.org/10.1002/sam.70051","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sam.70051","source":{"id":"https://openalex.org/S40788348","display_name":"Statistical Analysis and Data Mining The ASA Data Science Journal","issn_l":"1932-1864","issn":["1932-1864","1932-1872"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistical Analysis and Data Mining: An ASA Data Science Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sam.70051","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100416712","display_name":"Jong\u2010Min Kim","orcid":"https://orcid.org/0000-0003-3821-2060"},"institutions":[{"id":"https://openalex.org/I4210162301","display_name":"University of Minnesota Morris","ror":"https://ror.org/05vzqzh92","country_code":"US","type":"education","lineage":["https://openalex.org/I4210162301"]},{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]},{"id":"https://openalex.org/I98461037","display_name":"Tecnol\u00f3gico de Monterrey","ror":"https://ror.org/03ayjn504","country_code":"MX","type":"education","lineage":["https://openalex.org/I98461037"]}],"countries":["KR","MX","US"],"is_corresponding":false,"raw_author_name":"Jong\u2010Min Kim","raw_affiliation_strings":["Department of Statistics and Data Science Pukyong National University  Busan South Korea","EGADE Business School, Tecnol\u00f3gico de Monterrey  Monterrey Mexico","Statistics Discipline, Division of Science and Mathematics University of Minnesota\u2010Morris  Morris Minnesota USA","Statistics Discipline, Division of Science and Mathematics, University of Minnesota-Morris, Morris, Minnesota, USA"],"raw_orcid":"https://orcid.org/0000-0003-3821-2060","affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science Pukyong National University  Busan South Korea","institution_ids":["https://openalex.org/I8991828"]},{"raw_affiliation_string":"EGADE Business School, Tecnol\u00f3gico de Monterrey  Monterrey Mexico","institution_ids":["https://openalex.org/I98461037"]},{"raw_affiliation_string":"Statistics Discipline, Division of Science and Mathematics University of Minnesota\u2010Morris  Morris Minnesota USA","institution_ids":["https://openalex.org/I4210162301"]},{"raw_affiliation_string":"Statistics Discipline, Division of Science and Mathematics, University of Minnesota-Morris, Morris, Minnesota, USA","institution_ids":["https://openalex.org/I4210162301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377801","display_name":"Ji-Hoon Kim","orcid":"https://orcid.org/0000-0002-4895-0369"},"institutions":[{"id":"https://openalex.org/I4210162301","display_name":"University of Minnesota Morris","ror":"https://ror.org/05vzqzh92","country_code":"US","type":"education","lineage":["https://openalex.org/I4210162301"]},{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]},{"id":"https://openalex.org/I98461037","display_name":"Tecnol\u00f3gico de Monterrey","ror":"https://ror.org/03ayjn504","country_code":"MX","type":"education","lineage":["https://openalex.org/I98461037"]}],"countries":["KR","MX","US"],"is_corresponding":false,"raw_author_name":"Jihoon Kim","raw_affiliation_strings":["Department of Statistics and Data Science Pukyong National University  Busan South Korea","EGADE Business School, Tecnol\u00f3gico de Monterrey  Monterrey Mexico","Statistics Discipline, Division of Science and Mathematics University of Minnesota\u2010Morris  Morris Minnesota USA","Department of Statistics and Data Science, Pukyong National University, Busan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science Pukyong National University  Busan South Korea","institution_ids":["https://openalex.org/I8991828"]},{"raw_affiliation_string":"EGADE Business School, Tecnol\u00f3gico de Monterrey  Monterrey Mexico","institution_ids":["https://openalex.org/I98461037"]},{"raw_affiliation_string":"Statistics Discipline, Division of Science and Mathematics University of Minnesota\u2010Morris  Morris Minnesota USA","institution_ids":["https://openalex.org/I4210162301"]},{"raw_affiliation_string":"Department of Statistics and Data Science, Pukyong National University, Busan, South Korea","institution_ids":["https://openalex.org/I8991828"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070406591","display_name":"Il Do Ha","orcid":"https://orcid.org/0000-0001-8434-9506"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Il Do Ha","raw_affiliation_strings":["Department of Statistics and Data Science Pukyong National University  Busan South Korea","Department of Statistics and Data Science, Pukyong National University, Busan, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-8434-9506","affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science Pukyong National University  Busan South Korea","institution_ids":["https://openalex.org/I8991828"]},{"raw_affiliation_string":"Department of Statistics and Data Science, Pukyong National University, Busan, South Korea","institution_ids":["https://openalex.org/I8991828"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070406591"],"corresponding_institution_ids":["https://openalex.org/I8991828"],"apc_list":{"value":3760,"currency":"USD","value_usd":3760},"apc_paid":{"value":3760,"currency":"USD","value_usd":3760},"fwci":1.9393,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8967997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"18","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.42239999771118164,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.42239999771118164,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.265500009059906,"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/T11297","display_name":"Ferroptosis and cancer prognosis","score":0.020999999716877937,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/deep-learning","display_name":"Deep learning","score":0.7788000106811523},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6222000122070312},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5180000066757202},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4284999966621399},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.391400009393692},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.367000013589859},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.351500004529953}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7788000106811523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7479000091552734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6930000185966492},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6222000122070312},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6133000254631042},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5180000066757202},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4284999966621399},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.391400009393692},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.367000013589859},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.351500004529953},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31540000438690186},{"id":"https://openalex.org/C2982736386","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Statistical learning","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C17618745","wikidata":"https://www.wikidata.org/wiki/Q207509","display_name":"Copula (linguistics)","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.26840001344680786},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2565000057220459},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/sam.70051","is_oa":true,"landing_page_url":"https://doi.org/10.1002/sam.70051","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sam.70051","source":{"id":"https://openalex.org/S40788348","display_name":"Statistical Analysis and Data Mining The ASA Data Science Journal","issn_l":"1932-1864","issn":["1932-1864","1932-1872"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistical Analysis and Data Mining: An ASA Data Science Journal","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1002/sam.70051","is_oa":true,"landing_page_url":"https://doi.org/10.1002/sam.70051","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sam.70051","source":{"id":"https://openalex.org/S40788348","display_name":"Statistical Analysis and Data Mining The ASA Data Science Journal","issn_l":"1932-1864","issn":["1932-1864","1932-1872"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistical Analysis and Data Mining: An ASA Data Science Journal","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1151876199","display_name":null,"funder_award_id":"RS-2023-00240794","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G5534149960","display_name":null,"funder_award_id":"RS\u20102023\u201000240794","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416354442.pdf","grobid_xml":"https://content.openalex.org/works/W4416354442.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W390686421","https://openalex.org/W2038981426","https://openalex.org/W2041055738","https://openalex.org/W2048033270","https://openalex.org/W2057847137","https://openalex.org/W2064675550","https://openalex.org/W2099130578","https://openalex.org/W2123362440","https://openalex.org/W2163510151","https://openalex.org/W2749556736","https://openalex.org/W2781715048","https://openalex.org/W2908881949","https://openalex.org/W2919115771","https://openalex.org/W2928839001","https://openalex.org/W2977606681","https://openalex.org/W3123284220","https://openalex.org/W3147894994","https://openalex.org/W4381432756","https://openalex.org/W4394767732","https://openalex.org/W4402710109"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"This":[1,92],"study":[2],"introduces":[3],"a":[4,38],"novel":[5],"approach":[6,61],"to":[7],"modeling":[8,69],"competing":[9,48,110,125],"risks":[10,49,126],"in":[11,46,66,127],"survival":[12,67,107,128],"analysis":[13,108],"by":[14,70],"integrating":[15,98],"learnable":[16],"Copula":[17],"functions":[18],"(Clayton,":[19],"Frank,":[20],"and":[21,37,76,88,123],"Gaussian)":[22],"with":[23,109],"deep":[24,103],"learning":[25,104],"architectures,":[26],"including":[27],"Convolutional":[28],"Neural":[29],"Networks":[30],"(CNN),":[31],"Long":[32],"Short\u2010Term":[33],"Memory":[34],"(LSTM)":[35],"networks,":[36],"hybrid":[39],"CNN\u2010LSTM":[40],"model.":[41],"Here,":[42],"we":[43],"are":[44],"interested":[45],"classifying":[47],"outcomes.":[50],"The":[51,112],"proposed":[52,82],"method":[53],"captures":[54],"complex":[55],"dependencies":[56],"within":[57],"the":[58,81,95],"data.":[59,91],"Our":[60],"demonstrates":[62],"improved":[63],"predictive":[64],"performance":[65],"data":[68,87],"effectively":[71],"capturing":[72],"intricate":[73],"dependency":[74,100],"structures":[75,101],"event":[77],"relationships.":[78],"We":[79],"validate":[80],"models":[83,105],"using":[84],"both":[85],"simulated":[86],"real\u2010world":[89],"clinical":[90],"research":[93],"highlights":[94],"potential":[96],"of":[97],"Copula\u2010based":[99,116],"into":[102],"for":[106],"risks.":[111],"results":[113],"emphasize":[114],"how":[115],"neural":[117],"networks":[118],"can":[119],"enhance":[120],"prediction":[121],"accuracy":[122],"handle":[124],"analysis.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-09T15:46:55.921056","created_date":"2025-11-19T00:00:00"}