{"id":"https://openalex.org/W2914534006","doi":"https://doi.org/10.1109/bibm.2018.8621213","title":"Using multi-anchors to identify patients suffering from multimorbidities","display_name":"Using multi-anchors to identify patients suffering from multimorbidities","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2914534006","doi":"https://doi.org/10.1109/bibm.2018.8621213","mag":"2914534006"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2018.8621213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621213","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5009696174","display_name":"Karl yvind Mikalsen","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":"Karl yvind Mikalsen","raw_affiliation_strings":["Dept. of Mathematics and Statistics, UiT The Arctic University of Norway, Troms\u00f8, Norway"],"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics and Statistics, UiT The Arctic University of Norway, Troms\u00f8, 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/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Cristina Soguero-Ruiz","raw_affiliation_strings":["Dept. of Signal Theory and Comm., Rey Juan Carlos University, Fuenlabrada, Spain"],"affiliations":[{"raw_affiliation_string":"Dept. of Signal Theory and Comm., Rey Juan Carlos University, Fuenlabrada, Spain","institution_ids":["https://openalex.org/I182083151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091890497","display_name":"Inmaculada Mora-Jim\u00e9nez","orcid":"https://orcid.org/0000-0003-0735-367X"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Inmaculada Mora-Jimenez","raw_affiliation_strings":["Dept. of Signal Theory and Comm., Rey Juan Carlos University, Fuenlabrada, Spain"],"affiliations":[{"raw_affiliation_string":"Dept. of Signal Theory and Comm., Rey Juan Carlos University, Fuenlabrada, Spain","institution_ids":["https://openalex.org/I182083151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102026564","display_name":"Isabel Caballero","orcid":"https://orcid.org/0000-0003-0193-4406"},"institutions":[{"id":"https://openalex.org/I4210149026","display_name":"Hospital Universitario de Fuenlabrada","ror":"https://ror.org/04scbtr44","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210139293","https://openalex.org/I4210149026"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Isabel Caballero Lopez Fando","raw_affiliation_strings":["Health Finance Management University Hospital of Fuenlabrada, Fuenlabrada, Spain"],"affiliations":[{"raw_affiliation_string":"Health Finance Management University Hospital of Fuenlabrada, Fuenlabrada, Spain","institution_ids":["https://openalex.org/I4210149026"]}]},{"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":["Dept. of Physics and Technology, UiT The Arctic University of Norway, Troms\u00f8, Norway"],"affiliations":[{"raw_affiliation_string":"Dept. of Physics and Technology, UiT The Arctic University of Norway, Troms\u00f8, Norway","institution_ids":["https://openalex.org/I78037679"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5009696174"],"corresponding_institution_ids":["https://openalex.org/I78037679"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23416794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"1514","last_page":"1521"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12246","display_name":"Chronic Disease Management Strategies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12246","display_name":"Chronic Disease Management Strategies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.994700014591217,"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/T14400","display_name":"Medical Coding and Health Information","score":0.9772999882698059,"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/computer-science","display_name":"Computer science","score":0.6591281294822693},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5952260494232178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5935653448104858},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5814296007156372},{"id":"https://openalex.org/keywords/chronic-disease","display_name":"Chronic disease","score":0.5686647295951843},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5198967456817627},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.499525785446167},{"id":"https://openalex.org/keywords/multimorbidity","display_name":"Multimorbidity","score":0.4414274990558624},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3412702679634094},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2685873508453369},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.19353869557380676},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11653584241867065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6591281294822693},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5952260494232178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5935653448104858},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5814296007156372},{"id":"https://openalex.org/C2987552334","wikidata":"https://www.wikidata.org/wiki/Q383126","display_name":"Chronic disease","level":2,"score":0.5686647295951843},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5198967456817627},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.499525785446167},{"id":"https://openalex.org/C2909273474","wikidata":"https://www.wikidata.org/wiki/Q1952420","display_name":"Multimorbidity","level":3,"score":0.4414274990558624},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3412702679634094},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2685873508453369},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.19353869557380676},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11653584241867065},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2018.8621213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621213","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323299","display_name":"Norges Forskningsr\u00e5d","ror":"https://ror.org/00epmv149"},{"id":"https://openalex.org/F4320334923","display_name":"Instituto de Salud Carlos III","ror":"https://ror.org/00ca2c886"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W79139011","https://openalex.org/W1986159170","https://openalex.org/W2066653224","https://openalex.org/W2074226299","https://openalex.org/W2074950806","https://openalex.org/W2102999566","https://openalex.org/W2122231459","https://openalex.org/W2123958887","https://openalex.org/W2127960841","https://openalex.org/W2130501785","https://openalex.org/W2131863095","https://openalex.org/W2132735550","https://openalex.org/W2150845035","https://openalex.org/W2171146155","https://openalex.org/W2184777435","https://openalex.org/W2337688125","https://openalex.org/W2356882517","https://openalex.org/W2413868409","https://openalex.org/W2415497674","https://openalex.org/W2567552487","https://openalex.org/W2740130782","https://openalex.org/W2754009522","https://openalex.org/W2790146374","https://openalex.org/W2794714288","https://openalex.org/W6679387686","https://openalex.org/W6686516128","https://openalex.org/W6715897504"],"related_works":["https://openalex.org/W2733231195","https://openalex.org/W4362515063","https://openalex.org/W2398708777","https://openalex.org/W2032980606","https://openalex.org/W1492122900","https://openalex.org/W3152903039","https://openalex.org/W2872402518","https://openalex.org/W1957379686","https://openalex.org/W2100754843","https://openalex.org/W2966473836"],"abstract_inverted_index":{"Chronic":[0],"diseases,":[1,62],"and":[2,55,114],"in":[3,14,26,109,126],"particular":[4],"the":[5,30,33,58,66,85,136,167],"co-":[6],"occurrence":[7],"of":[8,52,60,69,88,106,122],"more":[9,162],"than":[10],"one":[11,152,160],"chronic":[12,70,163],"disease":[13],"an":[15,23,49],"patient,":[16],"which":[17],"is":[18,169],"known":[19],"as":[20],"multimorbidity,":[21],"represent":[22],"increasing":[24],"problem":[25],"modern":[27],"society.":[28],"For":[29,100],"individual":[31],"patients":[32,71,91,130,156],"consequences":[34],"are":[35],"potentially":[36],"serious,":[37],"especially":[38],"if":[39],"not":[40],"diagnosed":[41],"and/or":[42],"treated.":[43],"In":[44,75,165],"order":[45,127],"to":[46,83,128,139,172],"allow":[47],"for":[48,64,112],"efficient":[50],"allocation":[51],"health":[53,67,86,98],"resources,":[54],"slow":[56],"down":[57],"progression":[59],"these":[61],"methods":[63],"predicting":[65],"status":[68,87],"have":[72],"been":[73],"developed.":[74],"this":[76,101],"work,":[77],"we":[78,103,134],"propose":[79],"a":[80,140,173],"data-driven":[81],"approach":[82],"identify":[84,129,155],"chronically":[89],"ill":[90],"using":[92,148],"data":[93],"extracted":[94],"from":[95,132,159],"their":[96],"electronic":[97],"records.":[99],"purpose":[102],"take":[104],"advantage":[105],"recent":[107],"advances":[108],"machine":[110],"learning":[111,117,142,151],"healthcare":[113],"use":[115],"anchor":[116,137,150],"that":[118,147],"exploits":[119],"vast":[120],"amounts":[121],"unlabeled":[123],"data.":[124],"Moreover,":[125],"suffering":[131],"multimorbidities,":[133],"adapt":[135],"method":[138],"multi-anchor":[141],"framework.":[143],"The":[144],"experiments":[145],"show":[146],"multi-":[149],"can":[153],"accurately":[154],"who":[157],"suffer":[158],"or":[161],"conditions.":[164],"fact,":[166],"performance":[168],"almost":[170],"comparable":[171],"completely":[174],"supervised":[175],"baseline.":[176]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}