{"id":"https://openalex.org/W2932051275","doi":"https://doi.org/10.1109/healthcom46333.2019.9009606","title":"Identifying Patient Groups based on Frequent Patterns of Patient Samples","display_name":"Identifying Patient Groups based on Frequent Patterns of Patient Samples","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2932051275","doi":"https://doi.org/10.1109/healthcom46333.2019.9009606","mag":"2932051275"},"language":"en","primary_location":{"id":"doi:10.1109/healthcom46333.2019.9009606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/healthcom46333.2019.9009606","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 E-health Networking, Application &amp; Services (HealthCom)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1904.01863","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011081854","display_name":"Seyed Amin Tabatabaei","orcid":"https://orcid.org/0000-0001-9659-2028"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Seyed Amin Tabatabaei","raw_affiliation_strings":["Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands","Vrije Universiteit Amsterdam,Department of Computer Science,,Amsterdam,,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I865915315"]},{"raw_affiliation_string":"Vrije Universiteit Amsterdam,Department of Computer Science,,Amsterdam,,The Netherlands","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059099510","display_name":"Xixi Lu","orcid":"https://orcid.org/0000-0002-9844-3330"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Xixi Lu","raw_affiliation_strings":["Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands","Utrecht University Department of Information and Computing Sciences Utrecht The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I193662353"]},{"raw_affiliation_string":"Utrecht University Department of Information and Computing Sciences Utrecht The Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044217809","display_name":"Mark Hoogendoorn","orcid":"https://orcid.org/0000-0003-3356-3574"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mark Hoogendoorn","raw_affiliation_strings":["Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands","Vrije Universiteit Amsterdam,Department of Computer Science,,Amsterdam,,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I865915315"]},{"raw_affiliation_string":"Vrije Universiteit Amsterdam,Department of Computer Science,,Amsterdam,,The Netherlands","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086052987","display_name":"Hajo A. Reijers","orcid":"https://orcid.org/0000-0001-9634-5852"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Hajo A Reijers","raw_affiliation_strings":["Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands","Utrecht University Department of Information and Computing Sciences Utrecht The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I193662353"]},{"raw_affiliation_string":"Utrecht University Department of Information and Computing Sciences Utrecht The Netherlands","institution_ids":["https://openalex.org/I193662353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011081854"],"corresponding_institution_ids":["https://openalex.org/I865915315"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03014322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9649999737739563,"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":0.9596999883651733,"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/similarity","display_name":"Similarity (geometry)","score":0.6963351368904114},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6476001739501953},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5288358926773071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.509498655796051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4595685303211212},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.427815705537796},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.4177420735359192},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.39852553606033325},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3732578754425049},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35566627979278564},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19886046648025513}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6963351368904114},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6476001739501953},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5288358926773071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.509498655796051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4595685303211212},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.427815705537796},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.4177420735359192},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.39852553606033325},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3732578754425049},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35566627979278564},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19886046648025513},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/healthcom46333.2019.9009606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/healthcom46333.2019.9009606","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 E-health Networking, Application &amp; Services (HealthCom)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1904.01863","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.01863","pdf_url":"https://arxiv.org/pdf/1904.01863","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2932051275","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1904.01863.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:dspace.library.uu.nl:1874/481517","is_oa":true,"landing_page_url":"https://dspace.library.uu.nl/handle/1874/481517","pdf_url":null,"source":{"id":"https://openalex.org/S4306401649","display_name":"Utrecht University Repository (Utrecht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193662353","host_organization_name":"Utrecht University","host_organization_lineage":["https://openalex.org/I193662353"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Part of book"},{"id":"pmh:oai:research.vu.nl:publications/776709e8-fee7-4295-aca1-8ef87a53dd6f","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85082139065&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306400546","display_name":"Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Tabatabaei, S A, Lu, X, Hoogendoorn, M & Reijers, H A 2020, Identifying Patient Groups based on Frequent Patterns of Patient Samples. in 2019 IEEE International Conference on E-Health Networking, Application and Services (HealthCom) : [Proceedings]., 9009606, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 21st IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2019, Bogota, Colombia, 14/10/19. https://doi.org/10.1109/HealthCom46333.2019.9009606","raw_type":"contributionToPeriodical"},{"id":"pmh:vu:oai:research.vu.nl:publications/776709e8-fee7-4295-aca1-8ef87a53dd6f","is_oa":false,"landing_page_url":"https://research.vu.nl/en/publications/776709e8-fee7-4295-aca1-8ef87a53dd6f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2019, 1 - 6","raw_type":"info:eu-repo/semantics/conferencepaper"},{"id":"doi:10.48550/arxiv.1904.01863","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1904.01863","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1904.01863","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.01863","pdf_url":"https://arxiv.org/pdf/1904.01863","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2932051275.pdf","grobid_xml":"https://content.openalex.org/works/W2932051275.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W765754","https://openalex.org/W4527426","https://openalex.org/W1484413656","https://openalex.org/W1986292567","https://openalex.org/W2022621472","https://openalex.org/W2042883751","https://openalex.org/W2049082242","https://openalex.org/W2064853889","https://openalex.org/W2103037286","https://openalex.org/W2133227149","https://openalex.org/W2166559705","https://openalex.org/W4239584046","https://openalex.org/W4252403066","https://openalex.org/W6600025118","https://openalex.org/W6628750762","https://openalex.org/W6639315830","https://openalex.org/W6679740073"],"related_works":["https://openalex.org/W3009210187","https://openalex.org/W2785944265","https://openalex.org/W2987285854","https://openalex.org/W2139197980","https://openalex.org/W2819365590","https://openalex.org/W3183289342","https://openalex.org/W2945509974","https://openalex.org/W1590503499","https://openalex.org/W2269152073","https://openalex.org/W2805893819","https://openalex.org/W3084784649","https://openalex.org/W3045495939","https://openalex.org/W2401569300","https://openalex.org/W3047817901","https://openalex.org/W2769205780","https://openalex.org/W3011193648","https://openalex.org/W2059596943","https://openalex.org/W133292456","https://openalex.org/W3013985136","https://openalex.org/W1638614070"],"abstract_inverted_index":{"Grouping":[0],"patients":[1,53,106,126,129],"meaningfully":[2],"can":[3],"give":[4],"insights":[5],"about":[6],"the":[7,15,70,78,86,103,118,121,128,131,142],"different":[8],"types":[9],"of":[10,52,60,68,94,105,110,124,141,163],"patients,":[11],"their":[12],"needs,":[13],"and":[14,88,114,170],"priorities.":[16],"Finding":[17],"groups":[18,51,83],"that":[19,46],"are":[20,112],"meaningful":[21],"is":[22,29,47,147],"however":[23],"very":[24,74],"challenging":[25],"as":[26],"background":[27],"knowledge":[28],"often":[30],"required":[31],"to":[32,49,116,127],"determine":[33],"what":[34],"a":[35,56,99,154],"useful":[36],"grouping":[37,100,167],"is.":[38],"In":[39],"this":[40],"paper":[41],"we":[42],"propose":[43],"an":[44,138],"approach":[45,71,82,135,146],"able":[48],"find":[50],"based":[54,84,101],"on":[55,73,85,102],"small":[57],"sample":[58,104,132],"set":[59],"positive":[61],"examples":[62],"given":[63],"by":[64,77],"domain":[65,79],"experts.":[66,80],"Because":[67],"that,":[69],"relies":[72],"limited":[75],"efforts":[76],"The":[81,144,159],"activities":[87,111],"diagnostic/billing":[89],"codes":[90],"within":[91],"health":[92],"pathways":[93,123],"patients.":[95],"To":[96],"define":[97],"such":[98],"efficiently,":[107],"frequent":[108],"patterns":[109],"discovered":[113],"used":[115],"measure":[117],"similarity":[119],"between":[120],"care":[122],"other":[125],"in":[130,137],"group.":[133,143],"This":[134],"results":[136],"insightful":[139],"definition":[140],"proposed":[145],"evaluated":[148],"using":[149],"several":[150],"datasets":[151],"obtained":[152],"from":[153],"large":[155],"university":[156],"medical":[157],"center.":[158],"evaluation":[160],"shows":[161],"F1-scores":[162],"around":[164,171],"0.7":[165],"for":[166,173],"kidney":[168],"injury":[169],"0.6":[172],"diabetes.":[174]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
