{"id":"https://openalex.org/W4387846700","doi":"https://doi.org/10.1145/3583780.3615464","title":"Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications","display_name":"Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387846700","doi":"https://doi.org/10.1145/3583780.3615464","pmid":"https://pubmed.ncbi.nlm.nih.gov/40110564"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615464","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615464","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615464","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615464","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004135061","display_name":"Akash Choudhuri","orcid":"https://orcid.org/0000-0003-4323-6358"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akash Choudhuri","raw_affiliation_strings":["The University of Iowa, Iowa City, IA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4323-6358","affiliations":[{"raw_affiliation_string":"The University of Iowa, Iowa City, IA, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012902949","display_name":"Hankyu Jang","orcid":"https://orcid.org/0000-0002-3056-4347"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hankyu Jang","raw_affiliation_strings":["The University of Iowa, Iowa City, IA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3056-4347","affiliations":[{"raw_affiliation_string":"The University of Iowa, Iowa City, IA, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071525910","display_name":"Alberto M. Segre","orcid":"https://orcid.org/0000-0002-8886-6559"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alberto M. Segre","raw_affiliation_strings":["The University of Iowa, Iowa City, IA, USA"],"raw_orcid":"https://orcid.org/0000-0002-8886-6559","affiliations":[{"raw_affiliation_string":"The University of Iowa, Iowa City, IA, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028382626","display_name":"Philip M. Polgreen","orcid":"https://orcid.org/0000-0002-0630-5898"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip M. Polgreen","raw_affiliation_strings":["The University of Iowa, Iowa City, IA, USA"],"raw_orcid":"https://orcid.org/0000-0002-0630-5898","affiliations":[{"raw_affiliation_string":"The University of Iowa, Iowa City, IA, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021740848","display_name":"Kishlay Jha","orcid":"https://orcid.org/0000-0003-0826-445X"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kishlay Jha","raw_affiliation_strings":["The University of Iowa, Iowa City, IA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0826-445X","affiliations":[{"raw_affiliation_string":"The University of Iowa, Iowa City, IA, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052463345","display_name":"Bijaya Adhikari","orcid":"https://orcid.org/0000-0001-8409-8073"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bijaya Adhikari","raw_affiliation_strings":["The University of Iowa, Iowa City, IA, USA"],"raw_orcid":"https://orcid.org/0000-0001-8409-8073","affiliations":[{"raw_affiliation_string":"The University of Iowa, Iowa City, IA, USA","institution_ids":["https://openalex.org/I126307644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126307644"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2023","issue":null,"first_page":"4538","last_page":"4544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9948999881744385,"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":0.9948999881744385,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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":0.707986056804657},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6244456171989441},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5612565875053406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38276422023773193}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.707986056804657},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6244456171989441},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5612565875053406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38276422023773193},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3583780.3615464","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615464","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615464","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmid:40110564","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40110564","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11920885","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11920885","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11920885/pdf/nihms-2064488.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc ACM Int Conf Inf Knowl Manag","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1145/3583780.3615464","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615464","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615464","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6468247577","display_name":"CONTACT NETWORK TRANSMISSION MODELING OF HEALTHCARE ASSOCIATED INFECTIONS","funder_award_id":"U01CK000594","funder_id":"https://openalex.org/F4320332162","funder_display_name":"Centers for Disease Control and Prevention"},{"id":"https://openalex.org/G6735333011","display_name":null,"funder_award_id":"R01 LM014012","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"}],"funders":[{"id":"https://openalex.org/F4320332162","display_name":"Centers for Disease Control and Prevention","ror":"https://ror.org/042twtr12"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387846700.pdf","grobid_xml":"https://content.openalex.org/works/W4387846700.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W88980739","https://openalex.org/W560666591","https://openalex.org/W2102343050","https://openalex.org/W2250539671","https://openalex.org/W2296080561","https://openalex.org/W2560647685","https://openalex.org/W2782822144","https://openalex.org/W2911489562","https://openalex.org/W2923546398","https://openalex.org/W2964189064","https://openalex.org/W2965683718","https://openalex.org/W2984974929","https://openalex.org/W2998906125","https://openalex.org/W3024047754","https://openalex.org/W3030364939","https://openalex.org/W3034368386","https://openalex.org/W3037887574","https://openalex.org/W3101767658","https://openalex.org/W3138154797","https://openalex.org/W3141199462","https://openalex.org/W3201023666","https://openalex.org/W4280634468","https://openalex.org/W4295896787","https://openalex.org/W4300035993"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Continual":[0],"learning":[1,17,49,96,168],"has":[2],"emerged":[3],"as":[4,37,196],"a":[5,68,94],"powerful":[6],"approach":[7,92,131,190],"to":[8,19,21,62,76,81,109,141,165,172],"address":[9],"the":[10,26,90,99,114,129,133,149,174,186],"challenges":[11],"of":[12,104,116,188],"non-stationary":[13],"environments,":[14],"allowing":[15],"machine":[16,167],"models":[18,169],"adapt":[20,77],"new":[22],"data":[23,83,177],"while":[24],"retaining":[25],"previously":[27],"acquired":[28],"knowledge.":[29],"In":[30],"time-sensitive":[31,192],"healthcare":[32,87,105,146,183,193],"applications,":[33],"where":[34,161],"entities":[35,106,118],"such":[36,195],"physicians,":[38],"hospital":[39],"rooms,":[40],"and":[41,112,144,205],"medications":[42],"exhibit":[43],"continuous":[44],"changes":[45],"over":[46,122],"time,":[47],"continual":[48,95],"holds":[50],"great":[51],"promise,":[52],"yet":[53],"its":[54],"application":[55],"remains":[56],"relatively":[57],"unexplored.":[58],"This":[59],"paper":[60],"aims":[61],"bridge":[63],"this":[64],"gap":[65],"by":[66],"proposing":[67],"novel":[69],"framework,":[70],"i.e.,":[71],"Continually-Adaptive":[72],"Representation":[73],"Learning,":[74],"designed":[75],"representations":[78,115,152],"in":[79,85,138,157,191],"response":[80],"changing":[82],"distributions":[84],"evolving":[86],"applications.":[88],"Specifically,":[89],"proposed":[91,130,150],"develops":[93],"strategy":[97],"wherein":[98],"context":[100,120],"information":[101,136],"(e.g.,":[102],"interactions)":[103],"is":[107,163],"exploited":[108],"continually":[110],"identify":[111],"retrain":[113],"those":[117],"whose":[119],"evolved":[121],"time.":[123],"Moreover,":[124],"different":[125],"from":[126,170],"existing":[127],"approaches,":[128],"leverages":[132],"valuable":[134],"patient":[135],"present":[137],"clinical":[139,159],"notes":[140],"generate":[142],"accurate":[143],"robust":[145],"embeddings.":[147],"Notably,":[148],"continually-adaptive":[151],"are":[153],"have":[154],"practical":[155],"benefits":[156],"low-resource":[158],"settings":[160],"it":[162],"difficult":[164],"training":[166],"scratch":[171],"accommodate":[173],"newly":[175],"available":[176],"streams.":[178],"Experimental":[179],"evaluations":[180],"on":[181],"real-world":[182],"datasets":[184],"demonstrate":[185],"effectiveness":[187],"our":[189],"applications":[194],"Clostridioides":[197],"difficile":[198],"(C.diff)":[199],"Infection":[200],"(CDI)":[201],"incidence":[202],"prediction":[203,211],"task":[204],"medical":[206],"intensive":[207],"care":[208],"unit":[209],"transfer":[210],"task.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
