{"id":"https://openalex.org/W2797050905","doi":"https://doi.org/10.1109/bhi.2018.8333432","title":"Towards deep anchor learning","display_name":"Towards deep anchor learning","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2797050905","doi":"https://doi.org/10.1109/bhi.2018.8333432","mag":"2797050905"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2018.8333432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2018.8333432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","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/A5033524493","display_name":"Mads A. Hansen","orcid":null},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Mads A. Hansen","raw_affiliation_strings":["UiT Machine Learning Group, University of Norway, Troms, Norway"],"affiliations":[{"raw_affiliation_string":"UiT Machine Learning Group, University of Norway, Troms, Norway","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002504806","display_name":"Karl \u00d8yvind Mikalsen","orcid":"https://orcid.org/0000-0003-4672-7865"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Karl O. Mikalsen","raw_affiliation_strings":["UiT Machine Learning Group, University of Norway, Troms, Norway"],"affiliations":[{"raw_affiliation_string":"UiT Machine Learning Group, University of Norway, Troms, Norway","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023225712","display_name":"Michael Kampffmeyer","orcid":"https://orcid.org/0000-0002-7699-0405"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Michael Kampffmeyer","raw_affiliation_strings":["UiT Machine Learning Group, University of Norway, Troms, Norway"],"affiliations":[{"raw_affiliation_string":"UiT Machine Learning Group, University of Norway, Troms, Norway","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084198564","display_name":"Cristina Soguero-Ru\u00edz","orcid":"https://orcid.org/0000-0001-5817-989X"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]},{"id":"https://openalex.org/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES","NO"],"is_corresponding":false,"raw_author_name":"Cristina Soguero-Ruiz","raw_affiliation_strings":["Dept. of Signal Theory and Comm., Universidad Rey Juan Carlos, Fuenlabrada, Spain","UiT Machine Learning Group, University of Norway, Troms, Norway"],"affiliations":[{"raw_affiliation_string":"Dept. of Signal Theory and Comm., Universidad Rey Juan Carlos, Fuenlabrada, Spain","institution_ids":["https://openalex.org/I182083151"]},{"raw_affiliation_string":"UiT Machine Learning Group, University of Norway, Troms, Norway","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013414039","display_name":"Robert Jenssen","orcid":"https://orcid.org/0000-0002-7496-8474"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Robert Jenssen","raw_affiliation_strings":["UiT Machine Learning Group, University of Norway, Troms, Norway"],"affiliations":[{"raw_affiliation_string":"UiT Machine Learning Group, University of Norway, Troms, Norway","institution_ids":["https://openalex.org/I78037679"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033524493"],"corresponding_institution_ids":["https://openalex.org/I78037679"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56294629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"315","last_page":"318"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9908000230789185,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.96670001745224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8805956840515137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8067296743392944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7990659475326538},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7644227743148804},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.674026370048523},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5930827856063843},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5635086297988892},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5268524885177612},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5089662075042725},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5087350010871887},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47054582834243774},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.46243369579315186},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.43144968152046204},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.42174020409584045},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.41560259461402893},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09358814358711243}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8805956840515137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8067296743392944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7990659475326538},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7644227743148804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.674026370048523},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5930827856063843},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5635086297988892},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5268524885177612},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5089662075042725},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5087350010871887},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47054582834243774},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.46243369579315186},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.43144968152046204},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.42174020409584045},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.41560259461402893},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09358814358711243},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi.2018.8333432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2018.8333432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W317456669","https://openalex.org/W1533861849","https://openalex.org/W1956509155","https://openalex.org/W1976526581","https://openalex.org/W2123958887","https://openalex.org/W2145094598","https://openalex.org/W2159213623","https://openalex.org/W2163922914","https://openalex.org/W2187089797","https://openalex.org/W2210301668","https://openalex.org/W2284851926","https://openalex.org/W2302502576","https://openalex.org/W2337688125","https://openalex.org/W2356882517","https://openalex.org/W2404901863","https://openalex.org/W2413868409","https://openalex.org/W2463552202","https://openalex.org/W2481271618","https://openalex.org/W2484189903","https://openalex.org/W2586314446","https://openalex.org/W2594685110","https://openalex.org/W2606287704","https://openalex.org/W2620525718","https://openalex.org/W2754009522","https://openalex.org/W2786221479","https://openalex.org/W2963580584","https://openalex.org/W2997574889","https://openalex.org/W3105332824","https://openalex.org/W3141455185","https://openalex.org/W4294334986","https://openalex.org/W4298056397","https://openalex.org/W6631943919","https://openalex.org/W6681096077","https://openalex.org/W6715897504","https://openalex.org/W6722121093","https://openalex.org/W6732728404","https://openalex.org/W6747743772","https://openalex.org/W6785670571"],"related_works":["https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644","https://openalex.org/W4389832810","https://openalex.org/W4220682630","https://openalex.org/W3181622257","https://openalex.org/W3163146846"],"abstract_inverted_index":{"Anchor":[0],"learning":[1,20,54,67,80,102],"is":[2],"a":[3,30,106],"promising":[4],"framework":[5],"for":[6,12,60,113],"electronic":[7],"health":[8],"record":[9],"phenotyping":[10],"and":[11,35],"predicting":[13],"clinical":[14,41],"state":[15],"variables.":[16],"In":[17,94],"particular,":[18],"anchor":[19,53,66,101,116],"alleviates":[21],"the":[22,49,61,99,124,132],"problem":[23],"of":[24,134],"having":[25],"to":[26,87,109],"manually":[27],"annotate":[28],"(label)":[29],"large":[31],"dataset":[32],"(time":[33],"consuming":[34],"expensive)":[36],"by":[37],"transforming":[38],"certain":[39],"key":[40],"observations":[42],"(anchors)":[43],"into":[44],"noisy":[45],"labels.":[46],"Thus":[47],"far,":[48],"predictive":[50],"models":[51],"in":[52,78,115],"have":[55,81],"utilized":[56],"rather":[57],"simple":[58],"features":[59,112,126],"analysis.":[62],"We":[63],"hypothesize":[64],"that":[65],"may":[68],"benefit":[69],"hugely":[70],"from":[71,92,138],"more":[72],"powerful":[73,89],"feature":[74,90],"extraction.":[75],"Recent":[76],"advances":[77],"deep":[79,100,107],"illustrated":[82],"neural":[83],"networks'":[84],"exceptional":[85],"ability":[86],"learn":[88],"representations":[91],"data.":[93],"this":[95],"paper,":[96],"we":[97],"propose":[98],"framework,":[103],"which":[104],"uses":[105],"autoencoder":[108,125],"obtain":[110],"stronger":[111],"use":[114],"learning.":[117],"A":[118],"support":[119],"vector":[120],"machine":[121],"trained":[122],"on":[123,131],"achieves":[127],"state-of-the":[128],"art":[129],"performance":[130],"task":[133],"postoperative":[135],"delirium":[136],"prediction":[137],"anchors.":[139]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}