{"id":"https://openalex.org/W3189077208","doi":"https://doi.org/10.24963/ijcai.2021/219","title":"Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data","display_name":"Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3189077208","doi":"https://doi.org/10.24963/ijcai.2021/219","mag":"3189077208"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/219","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/219","pdf_url":"https://www.ijcai.org/proceedings/2021/0219.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0219.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101846980","display_name":"Qingxiong Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qingxiong Tan","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University","Department of Computer Science, Hong Kong Baptist University, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]},{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008999954","display_name":"Mang Ye","orcid":"https://orcid.org/0000-0003-3989-7655"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mang Ye","raw_affiliation_strings":["School of Computer Science, Wuhan University","School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087968813","display_name":"Grace Lai\u2010Hung Wong","orcid":"https://orcid.org/0000-0002-2863-9389"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Grace Lai-Hung Wong","raw_affiliation_strings":["Department of Medicine and Therapeutics, The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medicine and Therapeutics, The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079920605","display_name":"Pong C. Yuen","orcid":"https://orcid.org/0000-0002-9343-2202"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"PongChi Yuen","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University","Department of Computer Science, Hong Kong Baptist University, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]},{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1586","last_page":"1592"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9998999834060669,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9919000267982483,"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":0.7367950677871704},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.645875871181488},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5648869276046753},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5441925525665283},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5176275372505188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5108429789543152},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5052283406257629},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5031861662864685},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5028490424156189},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47305694222450256},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.43351230025291443},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41737979650497437},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11104777455329895},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09603053331375122}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7367950677871704},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.645875871181488},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5648869276046753},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5441925525665283},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5176275372505188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5108429789543152},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5052283406257629},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5031861662864685},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5028490424156189},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47305694222450256},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.43351230025291443},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41737979650497437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11104777455329895},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09603053331375122},{"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/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/219","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/219","pdf_url":"https://www.ijcai.org/proceedings/2021/0219.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/219","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/219","pdf_url":"https://www.ijcai.org/proceedings/2021/0219.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4699999988079071,"display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G6140821214","display_name":"Disease burden of chronic viral hepatitis in Hong Kong \u2013 towards eliminating viral hepatitis by year 2030 according to World Health Organization (WHO) targets","funder_award_id":"07180216","funder_id":"https://openalex.org/F4320335055","funder_display_name":"Health and Medical Research Fund"}],"funders":[{"id":"https://openalex.org/F4320335055","display_name":"Health and Medical Research Fund","ror":"https://ror.org/03qh32912"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3189077208.pdf","grobid_xml":"https://content.openalex.org/works/W3189077208.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1924770834","https://openalex.org/W2171452488","https://openalex.org/W2396881363","https://openalex.org/W2498119267","https://openalex.org/W2519202371","https://openalex.org/W2803925851","https://openalex.org/W2807771243","https://openalex.org/W2942102409","https://openalex.org/W2945972951","https://openalex.org/W2951305674","https://openalex.org/W2951441387","https://openalex.org/W2963271116","https://openalex.org/W2964010366","https://openalex.org/W2964092686","https://openalex.org/W2964347220","https://openalex.org/W2973432116","https://openalex.org/W2992259026","https://openalex.org/W2997353686","https://openalex.org/W2998223454","https://openalex.org/W3006383880","https://openalex.org/W3007406359","https://openalex.org/W3016316981","https://openalex.org/W3033318292","https://openalex.org/W3034528964","https://openalex.org/W3047363187","https://openalex.org/W3092657637","https://openalex.org/W3120410539","https://openalex.org/W3125143472"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W1991765889","https://openalex.org/W1990068454","https://openalex.org/W2472172556","https://openalex.org/W1570805059","https://openalex.org/W2357266745","https://openalex.org/W1578824628","https://openalex.org/W4390961098","https://openalex.org/W2324780611","https://openalex.org/W3122321533"],"abstract_inverted_index":{"Due":[0],"to":[1,62,91,122,135,146],"the":[2,39,106,137,148],"dynamic":[3],"health":[4,14],"status":[5],"of":[6,11,35,109],"patients":[7],"and":[8,48,96,112,128,165],"discrepant":[9,71],"stability":[10],"physiological":[12],"variables,":[13],"data":[15,50,77],"often":[16],"presents":[17],"as":[18],"irregular":[19,81],"multi-rate":[20],"multivariate":[21],"time":[22,40],"series":[23],"(IMR-MTS)":[24],"with":[25],"significantly":[26,161],"varying":[27,49],"sampling":[28],"rates.":[29],"Existing":[30],"methods":[31,164],"mainly":[32],"study":[33],"changes":[34],"IMR-MTS":[36,64],"values":[37],"in":[38,65],"domain,":[41,67],"without":[42],"considering":[43],"their":[44,101],"different":[45],"dominant":[46,72,102],"frequencies":[47,73],"quality.":[51],"Hence,":[52],"we":[53],"propose":[54],"a":[55,115],"novel":[56,85],"Cooperative":[57],"Joint":[58],"Attentive":[59],"Network":[60],"(CJANet)":[61],"analyze":[63],"frequency":[66],"which":[68],"adaptively":[69],"handling":[70],"while":[74,99],"tackling":[75],"diverse":[76],"qualities":[78],"caused":[79],"by":[80],"sampling.":[82],"In":[83],"particular,":[84],"dual-channel":[86],"joint":[87],"attention":[88],"is":[89,120,143],"designed":[90,145],"jointly":[92],"identify":[93],"important":[94],"magnitude":[95,127],"phase":[97,129],"signals":[98,134],"detecting":[100],"frequencies,":[103],"automatically":[104],"enlarging":[105],"positive":[107],"influence":[108],"key":[110],"variables":[111],"frequencies.":[113],"Furthermore,":[114],"new":[116],"cooperative":[117],"learning":[118],"module":[119],"introduced":[121],"enhance":[123],"information":[124],"exchange":[125],"between":[126],"channels,":[130],"effectively":[131],"integrating":[132],"global":[133],"optimize":[136],"network.":[138],"A":[139],"frequency-aware":[140],"fusion":[141],"strategy":[142],"finally":[144],"aggregate":[147],"learned":[149],"features.":[150],"Extensive":[151],"experimental":[152],"results":[153],"on":[154],"real-world":[155],"medical":[156],"datasets":[157],"indicate":[158],"that":[159],"CJANet":[160],"outperforms":[162],"existing":[163],"provides":[166],"highly":[167],"interpretable":[168],"results.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
