{"id":"https://openalex.org/W2951591277","doi":"https://doi.org/10.1093/jamia/ocz079","title":"Hybrid bag of approaches to characterize selection criteria for cohort identification","display_name":"Hybrid bag of approaches to characterize selection criteria for cohort identification","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2951591277","doi":"https://doi.org/10.1093/jamia/ocz079","mag":"2951591277","pmid":"https://pubmed.ncbi.nlm.nih.gov/31197354"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocz079","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocz079","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7647216","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050525772","display_name":"V. G. Vinod Vydiswaran","orcid":"https://orcid.org/0000-0002-3122-1936"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"V G Vinod Vydiswaran","raw_affiliation_strings":["Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA","School of Information, University of Michigan, Ann Arbor, Michigan, USA"],"raw_orcid":"https://orcid.org/0000-0002-3122-1936","affiliations":[{"raw_affiliation_string":"Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"School of Information, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089363245","display_name":"Asher Strayhorn","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Asher Strayhorn","raw_affiliation_strings":["Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051163444","display_name":"Xinyan Zhao","orcid":"https://orcid.org/0000-0002-1970-031X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinyan Zhao","raw_affiliation_strings":["School of Information, University of Michigan, Ann Arbor, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069327436","display_name":"Philip Robinson","orcid":"https://orcid.org/0000-0001-6129-9075"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Phil Robinson","raw_affiliation_strings":["School of Information, University of Michigan, Ann Arbor, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004930373","display_name":"Mahesh Agarwal","orcid":"https://orcid.org/0009-0003-1988-1629"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahesh Agarwal","raw_affiliation_strings":["Department of Mathematics and Statistics, College of Arts, Sciences, and Letters, University of Michigan-Dearborn, Dearborn, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, College of Arts, Sciences, and Letters, University of Michigan-Dearborn, Dearborn, Michigan, USA","institution_ids":["https://openalex.org/I4210130704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045628714","display_name":"Erin Bagazinski","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erin Bagazinski","raw_affiliation_strings":["School of Information, University of Michigan, Ann Arbor, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053379346","display_name":"Madia Essiet","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Madia Essiet","raw_affiliation_strings":["School of Information, University of Michigan, Ann Arbor, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070242143","display_name":"Bradley Iott","orcid":"https://orcid.org/0000-0001-9784-0521"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bradley E Iott","raw_affiliation_strings":["School of Information, University of Michigan, Ann Arbor, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083106666","display_name":"Hyeon Joo","orcid":"https://orcid.org/0000-0003-4844-2417"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hyeon Joo","raw_affiliation_strings":["School of Information, University of Michigan, Ann Arbor, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013385717","display_name":"PingJui Ko","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"PingJui Ko","raw_affiliation_strings":["School of Information, University of Michigan, Ann Arbor, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109475683","display_name":"Da-Hee Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dahee Lee","raw_affiliation_strings":["School of Information, University of Michigan, Ann Arbor, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037065003","display_name":"Jin Xiu Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jin Xiu Lu","raw_affiliation_strings":["School of Information, University of Michigan, Ann Arbor, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624484","display_name":"Jinghui Liu","orcid":"https://orcid.org/0000-0002-7945-4165"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinghui Liu","raw_affiliation_strings":["School of Information, University of Michigan, Ann Arbor, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089646911","display_name":"Adharsh Murali","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adharsh Murali","raw_affiliation_strings":["School of Information, University of Michigan, Ann Arbor, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004471844","display_name":"Koki Sasagawa","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Koki Sasagawa","raw_affiliation_strings":["School of Information, University of Michigan, Ann Arbor, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014809128","display_name":"Tianshi Wang","orcid":"https://orcid.org/0000-0002-8013-5188"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianshi Wang","raw_affiliation_strings":["School of Information, University of Michigan, Ann Arbor, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075070306","display_name":"Nalingna Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nalingna Yuan","raw_affiliation_strings":["School of Information, University of Michigan, Ann Arbor, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":17,"corresponding_author_ids":["https://openalex.org/A5050525772"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":2.0312,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.90025456,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"26","issue":"11","first_page":"1172","last_page":"1180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.8399999737739563,"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":0.8399999737739563,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.043299999088048935,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T10350","display_name":"Electronic Health Records Systems","score":0.010300000198185444,"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/weighting","display_name":"Weighting","score":0.7470407485961914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6954140067100525},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6512727737426758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6413205862045288},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6003403067588806},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5941928029060364},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5838342308998108},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.541225790977478},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5373389720916748},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5290141105651855},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5131261944770813},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4434592127799988},{"id":"https://openalex.org/keywords/cohort","display_name":"Cohort","score":0.42031073570251465},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35659849643707275},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32915371656417847},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22402361035346985},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2013111710548401},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07987713813781738}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7470407485961914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6954140067100525},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6512727737426758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6413205862045288},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6003403067588806},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5941928029060364},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5838342308998108},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.541225790977478},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5373389720916748},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5290141105651855},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5131261944770813},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4434592127799988},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.42031073570251465},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35659849643707275},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32915371656417847},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22402361035346985},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2013111710548401},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07987713813781738},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002986","descriptor_name":"Clinical Trials as Topic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D002986","descriptor_name":"Clinical Trials as Topic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D002986","descriptor_name":"Clinical Trials as Topic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018579","descriptor_name":"Patient Selection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018579","descriptor_name":"Patient Selection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018579","descriptor_name":"Patient Selection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/jamia/ocz079","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocz079","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},{"id":"pmid:31197354","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31197354","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":"Journal of the American Medical Informatics Association : JAMIA","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:7647216","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7647216","pdf_url":null,"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":"J Am Med Inform Assoc","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:7647216","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7647216","pdf_url":null,"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":"J Am Med Inform Assoc","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1177723","https://openalex.org/W30705845","https://openalex.org/W45588658","https://openalex.org/W70606898","https://openalex.org/W86609720","https://openalex.org/W184303886","https://openalex.org/W241606282","https://openalex.org/W337026903","https://openalex.org/W344326921","https://openalex.org/W1808652302","https://openalex.org/W1964625659","https://openalex.org/W1989020263","https://openalex.org/W2030551400","https://openalex.org/W2050503581","https://openalex.org/W2051326280","https://openalex.org/W2057443209","https://openalex.org/W2057871132","https://openalex.org/W2086388133","https://openalex.org/W2104752900","https://openalex.org/W2110983945","https://openalex.org/W2114388055","https://openalex.org/W2120924192","https://openalex.org/W2122402213","https://openalex.org/W2135206202","https://openalex.org/W2139865360","https://openalex.org/W2145522203","https://openalex.org/W2146089916","https://openalex.org/W2149527488","https://openalex.org/W2154674126","https://openalex.org/W2167708617","https://openalex.org/W2169704124","https://openalex.org/W2202313121","https://openalex.org/W2245472176","https://openalex.org/W2324742156","https://openalex.org/W2406081996","https://openalex.org/W2488962145","https://openalex.org/W2508255435","https://openalex.org/W2516456488","https://openalex.org/W2786680042","https://openalex.org/W2787261861","https://openalex.org/W2975249097","https://openalex.org/W3025217608","https://openalex.org/W6600052039","https://openalex.org/W6601212410","https://openalex.org/W6601855197","https://openalex.org/W6602826705","https://openalex.org/W6603505381","https://openalex.org/W6607485555","https://openalex.org/W6609238556","https://openalex.org/W6611564832","https://openalex.org/W6611638327","https://openalex.org/W6713622936","https://openalex.org/W6748206390","https://openalex.org/W6748330840"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2108418243","https://openalex.org/W2127804977","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911","https://openalex.org/W1612029326"],"abstract_inverted_index":{"OBJECTIVE:":[0],"The":[1,119,146],"2018":[2,112,229],"National":[3],"NLP":[4],"Clinical":[5],"Challenge":[6],"(2018":[7],"n2c2)":[8],"focused":[9,188,241],"on":[10,87,123,177,217,224],"the":[11,32,41,71,111,124,130,133,137,153,164,171,178,184,193,197,228],"task":[12],"of":[13,40,110,175],"cohort":[14,198,253],"selection":[15,43,199,211,254],"for":[16,92,136,186],"clinical":[17],"trials,":[18],"where":[19],"participating":[20],"systems":[21],"were":[22,117,141,160],"tasked":[23],"with":[24,213],"analyzing":[25],"longitudinal":[26],"patient":[27],"records":[28],"to":[29,100,163,191,208,249],"determine":[30],"if":[31],"patients":[33],"met":[34],"or":[35],"did":[36],"not":[37],"meet":[38],"any":[39],"13":[42],"criteria.":[44],"This":[45],"article":[46],"describes":[47],"our":[48,225],"participation":[49,226],"in":[50,152,196,227,238],"this":[51],"shared":[52],"task.":[53,201],"MATERIALS":[54],"AND":[55],"METHODS:":[56],"We":[57,182],"followed":[58],"a":[59,187,240,251],"hybrid":[60,204],"approach":[61,205],"combining":[62],"pattern-based,":[63],"knowledge-intensive,":[64],"and":[65,95,97,103,144,156,220,244],"feature":[66],"weighting":[67,98],"techniques.":[68],"After":[69],"preprocessing":[70],"notes":[72],"using":[73],"publicly":[74],"available":[75],"natural":[76],"language":[77],"processing":[78],"tools,":[79],"we":[80,232],"developed":[81],"individual":[82],"criterion-specific":[83,242],"components":[84],"that":[85,234],"relied":[86],"collecting":[88],"knowledge":[89,247],"resources":[90,248],"relevant":[91],"these":[93],"criteria":[94,212],"pattern-based":[96],"approaches":[99],"identify":[101,209],"\"met\"":[102],"\"not":[104],"met\"":[105],"cases.":[106],"RESULTS:":[107],"As":[108],"part":[109],"n2c2":[113,230],"challenge,":[114],"3":[115,138,158],"runs":[116,140,159],"submitted.":[118],"overall":[120,154,173],"micro-averaged":[121,134],"F1":[122,135,174,215],"training":[125,219],"set":[126],"was":[127,149,206],"0.9444.":[128],"On":[129],"test":[131,179,221],"set,":[132],"submitted":[139],"0.9075,":[142],"0.9065,":[143],"0.9056.":[145],"best":[147,172],"run":[148],"placed":[150],"second":[151],"challenge":[155],"all":[157,210],"statistically":[161],"similar":[162],"top-ranked":[165],"system.":[166,255],"A":[167],"reimplemented":[168],"system":[169],"achieved":[170],"0.9111":[176],"set.":[180],"DISCUSSION:":[181],"highlight":[183],"need":[185],"resource-intensive":[189],"effort":[190],"address":[192],"class":[194],"imbalance":[195],"identification":[200],"CONCLUSION:":[202],"Our":[203],"able":[207],"high":[214],"performance":[216],"both":[218],"sets.":[222],"Based":[223],"task,":[231],"conclude":[233],"there":[235],"is":[236],"merit":[237],"continuing":[239],"analysis":[243],"developing":[245],"appropriate":[246],"build":[250],"quality":[252]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}