{"id":"https://openalex.org/W2990589708","doi":"https://doi.org/10.1109/ichi.2019.8904776","title":"Deep Imputation of Temporal Data","display_name":"Deep Imputation of Temporal Data","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2990589708","doi":"https://doi.org/10.1109/ichi.2019.8904776","mag":"2990589708"},"language":"en","primary_location":{"id":"doi:10.1109/ichi.2019.8904776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichi.2019.8904776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Healthcare Informatics (ICHI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5002556086","display_name":"Chao Yan","orcid":"https://orcid.org/0000-0002-6719-1388"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao Yan","raw_affiliation_strings":["Vanderbilt University,Department of EECS","Department of EECS, Vanderbilt University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanderbilt University,Department of EECS","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Department of EECS, Vanderbilt University","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044112648","display_name":"Cheng Gao","orcid":"https://orcid.org/0000-0002-5830-3739"},"institutions":[{"id":"https://openalex.org/I901861585","display_name":"Vanderbilt University Medical Center","ror":"https://ror.org/05dq2gs74","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210162197","https://openalex.org/I901861585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng Gao","raw_affiliation_strings":["Vanderbilt University Medical Center,Department of Biomedical Informatics","Department of Biomedical Informatics, Vanderbilt University Medical Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanderbilt University Medical Center,Department of Biomedical Informatics","institution_ids":["https://openalex.org/I901861585"]},{"raw_affiliation_string":"Department of Biomedical Informatics, Vanderbilt University Medical Center","institution_ids":["https://openalex.org/I901861585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074003488","display_name":"Xinmeng Zhang","orcid":"https://orcid.org/0000-0002-3983-2635"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinmeng Zhang","raw_affiliation_strings":["Vanderbilt University,Department of EECS","Department of EECS, Vanderbilt University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanderbilt University,Department of EECS","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Department of EECS, Vanderbilt University","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100714052","display_name":"You Chen","orcid":"https://orcid.org/0000-0001-8232-8840"},"institutions":[{"id":"https://openalex.org/I901861585","display_name":"Vanderbilt University Medical Center","ror":"https://ror.org/05dq2gs74","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210162197","https://openalex.org/I901861585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"You Chen","raw_affiliation_strings":["Vanderbilt University Medical Center,Department of Biomedical Informatics","Department of Biomedical Informatics, Vanderbilt University Medical Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanderbilt University Medical Center,Department of Biomedical Informatics","institution_ids":["https://openalex.org/I901861585"]},{"raw_affiliation_string":"Department of Biomedical Informatics, Vanderbilt University Medical Center","institution_ids":["https://openalex.org/I901861585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090647314","display_name":"Bradley Malin","orcid":"https://orcid.org/0000-0003-3040-5175"},"institutions":[{"id":"https://openalex.org/I901861585","display_name":"Vanderbilt University Medical Center","ror":"https://ror.org/05dq2gs74","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210162197","https://openalex.org/I901861585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bradley Malin","raw_affiliation_strings":["Vanderbilt University Medical Center,Department of Biomedical Informatics","Department of Biomedical Informatics, Vanderbilt University Medical Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanderbilt University Medical Center,Department of Biomedical Informatics","institution_ids":["https://openalex.org/I901861585"]},{"raw_affiliation_string":"Department of Biomedical Informatics, Vanderbilt University Medical Center","institution_ids":["https://openalex.org/I901861585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9959999918937683,"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":0.9959999918937683,"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/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9811000227928162,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.7798547744750977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7756690382957458},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7448120713233948},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5895982384681702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.565528154373169},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4774763584136963},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44054049253463745},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.438557893037796}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.7798547744750977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7756690382957458},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7448120713233948},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5895982384681702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.565528154373169},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4774763584136963},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44054049253463745},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.438557893037796}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ichi.2019.8904776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichi.2019.8904776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Healthcare Informatics (ICHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W2056967673","https://openalex.org/W2064186732","https://openalex.org/W2113559481","https://openalex.org/W2115098571","https://openalex.org/W2146130798","https://openalex.org/W2162772535","https://openalex.org/W2194775991","https://openalex.org/W2278608073","https://openalex.org/W2396881363","https://openalex.org/W2562568662","https://openalex.org/W2741416490","https://openalex.org/W2771817472","https://openalex.org/W2949117887","https://openalex.org/W2949419207","https://openalex.org/W3003365835","https://openalex.org/W6638667902","https://openalex.org/W6641162989","https://openalex.org/W6682042988"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549","https://openalex.org/W3123177881"],"abstract_inverted_index":{"Predictive":[0],"modeling":[1],"in":[2,7,70,94,96,124,131,159],"healthcare":[3],"has":[4],"shown":[5],"promise":[6],"various":[8],"settings,":[9],"such":[10,55],"as":[11],"early":[12],"diagnosis,":[13],"discovery":[14],"of":[15,21,33,41,162],"genotypephenotype":[16],"associations,":[17],"and":[18,151,166],"the":[19,31,39,42,77,112,125,160],"optimization":[20],"medical":[22],"resource":[23],"allocations":[24],"[1].":[25],"Due":[26],"to":[27,139],"their":[28],"data-driven":[29],"nature,":[30],"effectiveness":[32],"these":[34],"studies":[35],"heavily":[36],"relies":[37],"on":[38,144],"quality":[40],"collected":[43,69],"data.":[44],"However,":[45],"clinical":[46],"domain":[47],"is":[48,67,83,101,134],"often":[49,68,80],"driven":[50],"by":[51],"business":[52],"processing":[53],"needs,":[54],"that":[56,107,169],"ancillary":[57],"information,":[58],"which":[59,91],"would":[60],"be":[61],"useful":[62],"for":[63,86,136],"building":[64],"predictive":[65,89],"models,":[66,90],"a":[71,75,84,117],"haphazard":[72],"fashion.":[73],"As":[74],"consequence,":[76],"data":[78],"are":[79,170],"incomplete.":[81],"This":[82,100],"challenge":[85],"learning":[87,127,167],"effective":[88],"only":[92],"compounds":[93],"complexity":[95],"multivariate":[97],"time":[98,119],"series.":[99],"because":[102],"1)":[103],"filtering":[104],"out":[105],"instances":[106],"contain":[108],"missing":[109,149],"values":[110],"(e.g.,":[111],"feature":[113],"vector":[114],"associated":[115],"with":[116,147],"particular":[118],"step)":[120],"can":[121,157],"induce":[122],"bias":[123],"model":[126],"process":[128],"[2],":[129],"2)":[130],"practice,":[132],"it":[133],"difficult":[135],"learned":[137],"models":[138,168],"make":[140],"ad":[141],"hoc":[142],"predictions":[143],"test":[145],"cases":[146],"multiple":[148],"features,":[150],"3)":[152],"applying":[153],"ineffective":[154],"imputation":[155],"strategies":[156],"result":[158],"loss":[161],"noteworthy":[163],"patterns":[164],"[3]":[165],"simply":[171],"incorrect.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
