{"id":"https://openalex.org/W4312560643","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892806","title":"MTSSP: Missing Value Imputation in Multivariate Time Series for Survival Prediction","display_name":"MTSSP: Missing Value Imputation in Multivariate Time Series for Survival Prediction","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312560643","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892806"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892806","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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/A5100374458","display_name":"Bo Li","orcid":"https://orcid.org/0000-0002-7793-1925"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["School of Software, Shandong University,Jinan,China","School of Software, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University,Jinan,China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063237141","display_name":"Yuliang Shi","orcid":"https://orcid.org/0000-0002-1824-4244"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuliang Shi","raw_affiliation_strings":["School of Software, Shandong University,Jinan,China","School of Software, Shandong University, Jinan, China","Dareway Software Co., Ltd., Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University,Jinan,China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"Dareway Software Co., Ltd., Jinan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081189578","display_name":"Lin Cheng","orcid":"https://orcid.org/0000-0001-5484-3351"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Cheng","raw_affiliation_strings":["School of Software, Shandong University,Jinan,China","School of Software, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University,Jinan,China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735885","display_name":"Zhongmin Yan","orcid":"https://orcid.org/0000-0002-5271-5417"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongmin Yan","raw_affiliation_strings":["School of Software, Shandong University,Jinan,China","School of Software, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University,Jinan,China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100689423","display_name":"Xinjun Wang","orcid":"https://orcid.org/0000-0001-8504-1028"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjun Wang","raw_affiliation_strings":["School of Software, Shandong University,Jinan,China","School of Software, Shandong University, Jinan, China","Dareway Software Co., Ltd., Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University,Jinan,China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"Dareway Software Co., Ltd., Jinan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100423967","display_name":"Hui Li","orcid":"https://orcid.org/0000-0003-2597-6344"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["School of Software, Shandong University,Jinan,China","School of Software, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University,Jinan,China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4153,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59517625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9659000039100647,"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"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9642999768257141,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.899085521697998},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7266050577163696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6991362571716309},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.6723852157592773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5621023178100586},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5513918399810791},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5175480246543884},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47980454564094543},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46920791268348694},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4446045756340027},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.44439947605133057},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42798754572868347},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.41596120595932007}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.899085521697998},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7266050577163696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6991362571716309},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6723852157592773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5621023178100586},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5513918399810791},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5175480246543884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47980454564094543},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46920791268348694},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4446045756340027},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.44439947605133057},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42798754572868347},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.41596120595932007},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892806","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2139772141","https://openalex.org/W2157310573","https://openalex.org/W2157331557","https://openalex.org/W2411563882","https://openalex.org/W2594685110","https://openalex.org/W2690721124","https://openalex.org/W2792764867","https://openalex.org/W2803805253","https://openalex.org/W2804604520","https://openalex.org/W2963271116","https://openalex.org/W2963840672","https://openalex.org/W2985962305","https://openalex.org/W2998409174","https://openalex.org/W3016032135","https://openalex.org/W3109901740","https://openalex.org/W3191689323","https://openalex.org/W3194624049","https://openalex.org/W3198445485","https://openalex.org/W3200067809","https://openalex.org/W3205779208","https://openalex.org/W6680302858","https://openalex.org/W6683269132","https://openalex.org/W6685812147","https://openalex.org/W6696085341","https://openalex.org/W6715055779","https://openalex.org/W6726186668","https://openalex.org/W6749825310","https://openalex.org/W6752046673","https://openalex.org/W6770401718"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"In":[0,86,186],"recent":[1],"years,":[2],"there":[3],"has":[4,212],"been":[5,213],"a":[6,98,165],"lot":[7],"of":[8,50,114,135,139,175,183],"research":[9],"on":[10,39,56,195],"deep":[11,57],"learning":[12,58],"for":[13,95,132],"survival":[14],"prediction":[15,53,75,181,193],"in":[16],"EHR":[17,23],"(Electronic":[18],"Health":[19],"Record).":[20],"At":[21],"present,":[22],"usually":[24],"contains":[25],"multivariate":[26],"time":[27,107,122],"series":[28,108],"data":[29,41,145,176],"with":[30],"missing":[31,63,103,137,144],"values.":[32],"How":[33],"to":[34,62,71,157,170,215],"better":[35],"predict":[36],"mortality":[37,52,74,192],"based":[38,55],"such":[40],"is":[42],"what":[43],"many":[44],"studies":[45],"are":[46,125,147],"currently":[47],"doing.":[48],"Most":[49],"the":[51,68,73,115,118,121,128,133,136,143,149,160,172,180,184,187,196,209],"methods":[54],"only":[59],"pay":[60],"attention":[61],"value":[64,104,138],"filling":[65,105],"or":[66],"adjusting":[67],"model":[69,150],"structure":[70],"enhance":[72,171],"performance,":[76],"but":[77],"they":[78],"do":[79],"not":[80],"combine":[81],"these":[82],"two":[83,112],"aspects":[84],"well.":[85],"this":[87],"paper,":[88],"we":[89,189],"propose":[90],"MTSSP":[91],"(Multivariate":[92],"Time":[93],"Series":[94],"Survival":[96],"Prediction),":[97],"new":[99],"method":[100],"that":[101,208],"combines":[102,151],"and":[106,120,154,167,201],"classification.":[109],"It":[110],"takes":[111],"representations":[113],"loss":[116],"pattern:":[117],"mask":[119],"interval,":[123],"which":[124],"combined":[126],"into":[127],"recurrent":[129],"neural":[130],"network":[131],"interpolation":[134],"patient":[140],"characteristics.":[141],"When":[142],"values":[146],"interpolated,":[148],"bidirectional":[152],"RNN":[153],"one-dimensional":[155],"CNN":[156],"jointly":[158],"capture":[159],"patient's":[161],"medical":[162],"behavior":[163],"from":[164],"global":[166],"local":[168],"perspective":[169],"representation":[173],"ability":[174],"information,":[177],"thereby":[178],"improving":[179],"accuracy":[182],"model.":[185],"end,":[188],"conducted":[190],"our":[191],"experiments":[194],"real-world":[197],"emergency":[198],"MIMIC-III":[199],"dataset":[200],"MIMIC-IV":[202],"dataset.":[203],"The":[204],"experimental":[205],"results":[206],"demonstrate":[207],"proposed":[210],"approach":[211],"shown":[214],"significantly":[216],"outperform":[217],"other":[218],"approaches.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
