{"id":"https://openalex.org/W2380567717","doi":"https://doi.org/10.1186/s13326-016-0065-1","title":"Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis","display_name":"Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis","publication_year":2016,"publication_date":"2016-05-10","ids":{"openalex":"https://openalex.org/W2380567717","doi":"https://doi.org/10.1186/s13326-016-0065-1","mag":"2380567717","pmid":"https://pubmed.ncbi.nlm.nih.gov/27175226"},"language":"en","primary_location":{"id":"doi:10.1186/s13326-016-0065-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13326-016-0065-1","pdf_url":"https://jbiomedsem.biomedcentral.com/track/pdf/10.1186/s13326-016-0065-1","source":{"id":"https://openalex.org/S172276550","display_name":"Journal of Biomedical Semantics","issn_l":"2041-1480","issn":["2041-1480"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Biomedical Semantics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jbiomedsem.biomedcentral.com/track/pdf/10.1186/s13326-016-0065-1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077461380","display_name":"Danielle L. Mowery","orcid":"https://orcid.org/0000-0003-3802-4457"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]},{"id":"https://openalex.org/I4210089864","display_name":"VA Salt Lake City Healthcare System","ror":"https://ror.org/007fyq698","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1322918889","https://openalex.org/I2799886695","https://openalex.org/I4210089864","https://openalex.org/I4210113540"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Danielle L. Mowery","raw_affiliation_strings":["Department of Biomedical Informatics, University of Utah, Salt Lake City, UT USA ; IDEAS Center, Veteran Affair Health Care System, Salt Lake City, UT USA","Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA","IDEAS Center, Veteran Affair Health Care System, Salt Lake City, UT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, University of Utah, Salt Lake City, UT USA ; IDEAS Center, Veteran Affair Health Care System, Salt Lake City, UT USA","institution_ids":["https://openalex.org/I4210089864"]},{"raw_affiliation_string":"Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"IDEAS Center, Veteran Affair Health Care System, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I4210089864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011346354","display_name":"Brian E. Chapman","orcid":"https://orcid.org/0000-0003-0815-5448"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]},{"id":"https://openalex.org/I4210089864","display_name":"VA Salt Lake City Healthcare System","ror":"https://ror.org/007fyq698","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1322918889","https://openalex.org/I2799886695","https://openalex.org/I4210089864","https://openalex.org/I4210113540"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian E. Chapman","raw_affiliation_strings":["Department of Biomedical Informatics, University of Utah, Salt Lake City, UT USA ; IDEAS Center, Veteran Affair Health Care System, Salt Lake City, UT USA","Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA","IDEAS Center, Veteran Affair Health Care System, Salt Lake City, UT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, University of Utah, Salt Lake City, UT USA ; IDEAS Center, Veteran Affair Health Care System, Salt Lake City, UT USA","institution_ids":["https://openalex.org/I4210089864"]},{"raw_affiliation_string":"Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"IDEAS Center, Veteran Affair Health Care System, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I4210089864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082051013","display_name":"Mike Conway","orcid":"https://orcid.org/0000-0002-3209-8108"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mike Conway","raw_affiliation_strings":["Department of Biomedical Informatics, University of Utah, Salt Lake City, UT USA","Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, University of Utah, Salt Lake City, UT USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008552631","display_name":"Brett R. South","orcid":null},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]},{"id":"https://openalex.org/I4210089864","display_name":"VA Salt Lake City Healthcare System","ror":"https://ror.org/007fyq698","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1322918889","https://openalex.org/I2799886695","https://openalex.org/I4210089864","https://openalex.org/I4210113540"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brett R. South","raw_affiliation_strings":["Department of Biomedical Informatics, University of Utah, Salt Lake City, UT USA ; IDEAS Center, Veteran Affair Health Care System, Salt Lake City, UT USA","Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA","IDEAS Center, Veteran Affair Health Care System, Salt Lake City, UT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, University of Utah, Salt Lake City, UT USA ; IDEAS Center, Veteran Affair Health Care System, Salt Lake City, UT USA","institution_ids":["https://openalex.org/I4210089864"]},{"raw_affiliation_string":"Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"IDEAS Center, Veteran Affair Health Care System, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I4210089864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085376692","display_name":"Erin Madden","orcid":"https://orcid.org/0000-0001-6222-8623"},"institutions":[{"id":"https://openalex.org/I4210143381","display_name":"San Francisco VA Health Care System","ror":"https://ror.org/04g9q2h37","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1322918889","https://openalex.org/I2799886695","https://openalex.org/I4210125474","https://openalex.org/I4210143381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erin Madden","raw_affiliation_strings":["San Francisco Veteran Affair Health Care System, San Francisco, CA USA","San Francisco Veteran Affair Health Care System, San Francisco, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"San Francisco Veteran Affair Health Care System, San Francisco, CA USA","institution_ids":["https://openalex.org/I4210143381"]},{"raw_affiliation_string":"San Francisco Veteran Affair Health Care System, San Francisco, CA, USA","institution_ids":["https://openalex.org/I4210143381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090402848","display_name":"Salomeh Keyhani","orcid":"https://orcid.org/0000-0001-9124-9618"},"institutions":[{"id":"https://openalex.org/I4210143381","display_name":"San Francisco VA Health Care System","ror":"https://ror.org/04g9q2h37","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1322918889","https://openalex.org/I2799886695","https://openalex.org/I4210125474","https://openalex.org/I4210143381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Salomeh Keyhani","raw_affiliation_strings":["San Francisco Veteran Affair Health Care System, San Francisco, CA USA","San Francisco Veteran Affair Health Care System, San Francisco, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"San Francisco Veteran Affair Health Care System, San Francisco, CA USA","institution_ids":["https://openalex.org/I4210143381"]},{"raw_affiliation_string":"San Francisco Veteran Affair Health Care System, San Francisco, CA, USA","institution_ids":["https://openalex.org/I4210143381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065170642","display_name":"Wendy W. Chapman","orcid":"https://orcid.org/0000-0001-8702-4483"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]},{"id":"https://openalex.org/I4210089864","display_name":"VA Salt Lake City Healthcare System","ror":"https://ror.org/007fyq698","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1322918889","https://openalex.org/I2799886695","https://openalex.org/I4210089864","https://openalex.org/I4210113540"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wendy W. Chapman","raw_affiliation_strings":["Department of Biomedical Informatics, University of Utah, Salt Lake City, UT USA ; IDEAS Center, Veteran Affair Health Care System, Salt Lake City, UT USA","Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA","IDEAS Center, Veteran Affair Health Care System, Salt Lake City, UT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, University of Utah, Salt Lake City, UT USA ; IDEAS Center, Veteran Affair Health Care System, Salt Lake City, UT USA","institution_ids":["https://openalex.org/I4210089864"]},{"raw_affiliation_string":"Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"IDEAS Center, Veteran Affair Health Care System, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I4210089864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077461380"],"corresponding_institution_ids":["https://openalex.org/I223532165","https://openalex.org/I4210089864"],"apc_list":{"value":1340,"currency":"USD","value_usd":1340},"apc_paid":{"value":1340,"currency":"USD","value_usd":1340},"fwci":3.209,"has_fulltext":true,"cited_by_count":44,"citation_normalized_percentile":{"value":0.92043478,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":"1","first_page":"26","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.52920001745224,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.52920001745224,"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/T11894","display_name":"Radiology practices and education","score":0.19939999282360077,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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":0.03660000115633011,"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/stenosis","display_name":"Stenosis","score":0.7827743887901306},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5850921273231506},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke (engine)","score":0.5420606136322021},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.46857666969299316},{"id":"https://openalex.org/keywords/asymptomatic","display_name":"Asymptomatic","score":0.43202829360961914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42390885949134827},{"id":"https://openalex.org/keywords/terminology","display_name":"Terminology","score":0.4214104413986206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33881744742393494},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3322274684906006},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.3285755217075348},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.31106460094451904},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1835818886756897}],"concepts":[{"id":"https://openalex.org/C2780007028","wikidata":"https://www.wikidata.org/wiki/Q2343082","display_name":"Stenosis","level":2,"score":0.7827743887901306},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5850921273231506},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.5420606136322021},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.46857666969299316},{"id":"https://openalex.org/C2777910003","wikidata":"https://www.wikidata.org/wiki/Q1707292","display_name":"Asymptomatic","level":2,"score":0.43202829360961914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42390885949134827},{"id":"https://openalex.org/C547195049","wikidata":"https://www.wikidata.org/wiki/Q1725664","display_name":"Terminology","level":2,"score":0.4214104413986206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33881744742393494},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3322274684906006},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.3285755217075348},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.31106460094451904},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1835818886756897},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006077","descriptor_name":"Government Agencies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006077","descriptor_name":"Government Agencies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006077","descriptor_name":"Government Agencies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006077","descriptor_name":"Government Agencies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"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":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014728","descriptor_name":"Veterans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014728","descriptor_name":"Veterans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014728","descriptor_name":"Veterans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014728","descriptor_name":"Veterans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016893","descriptor_name":"Carotid Stenosis","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D016893","descriptor_name":"Carotid Stenosis","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D016893","descriptor_name":"Carotid Stenosis","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D016893","descriptor_name":"Carotid Stenosis","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":true},{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":true},{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":true},{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1186/s13326-016-0065-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13326-016-0065-1","pdf_url":"https://jbiomedsem.biomedcentral.com/track/pdf/10.1186/s13326-016-0065-1","source":{"id":"https://openalex.org/S172276550","display_name":"Journal of Biomedical Semantics","issn_l":"2041-1480","issn":["2041-1480"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Biomedical Semantics","raw_type":"journal-article"},{"id":"pmid:27175226","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27175226","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 biomedical semantics","raw_type":null},{"id":"pmh:oai:jupiter.its.unimelb.edu.au:11343/247366","is_oa":true,"landing_page_url":"http://hdl.handle.net/11343/247366","pdf_url":"http://hdl.handle.net/11343/247366","source":{"id":"https://openalex.org/S4377196259","display_name":"Minerva Access (University of Melbourne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165779595","host_organization_name":"The University of Melbourne","host_organization_lineage":["https://openalex.org/I165779595"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"pmh:oai:escholarship.org/ark:/13030/qt27n2q87v","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/27n2q87v","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:4863379","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4863379","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Biomed Semantics","raw_type":"Text"},{"id":"pmh:qt27n2q87v","is_oa":false,"landing_page_url":"http://www.escholarship.org/uc/item/27n2q87v","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Keyhani, Salomeh; Mowery, DL; Chapman, BE; Conway, M; South, BR; Madden, E; \u00c2\u00a0et al.(2016). Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis.. UC San Francisco: Retrieved from: http://www.escholarship.org/uc/item/27n2q87v","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13326-016-0065-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13326-016-0065-1","pdf_url":"https://jbiomedsem.biomedcentral.com/track/pdf/10.1186/s13326-016-0065-1","source":{"id":"https://openalex.org/S172276550","display_name":"Journal of Biomedical Semantics","issn_l":"2041-1480","issn":["2041-1480"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Biomedical Semantics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1546654411","display_name":null,"funder_award_id":"HSR&D Stroke QUERI RRP 12-185","funder_id":"https://openalex.org/F4320332498","funder_display_name":"Quality Enhancement Research Initiative"},{"id":"https://openalex.org/G471229734","display_name":null,"funder_award_id":"D Stroke QUERI RRP 12-185","funder_id":"https://openalex.org/F4320332498","funder_display_name":"Quality Enhancement Research Initiative"},{"id":"https://openalex.org/G5086046381","display_name":null,"funder_award_id":"R01 LM010964","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G5138911815","display_name":null,"funder_award_id":"R01 GM090187","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G5731236595","display_name":null,"funder_award_id":"1R01HL114563-01A1","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G5899149145","display_name":null,"funder_award_id":"NIGMS R01GM090187","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G8356756142","display_name":null,"funder_award_id":"R01 HL114563","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"}],"funders":[{"id":"https://openalex.org/F4320332498","display_name":"Quality Enhancement Research Initiative","ror":"https://ror.org/03cdz5d08"},{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2380567717.pdf","grobid_xml":"https://content.openalex.org/works/W2380567717.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W70606898","https://openalex.org/W79139011","https://openalex.org/W193168897","https://openalex.org/W1484393529","https://openalex.org/W1590194639","https://openalex.org/W1808652302","https://openalex.org/W1964625659","https://openalex.org/W2012487908","https://openalex.org/W2026643686","https://openalex.org/W2043768386","https://openalex.org/W2053005868","https://openalex.org/W2053870274","https://openalex.org/W2064337796","https://openalex.org/W2082949585","https://openalex.org/W2105714645","https://openalex.org/W2113105800","https://openalex.org/W2118281822","https://openalex.org/W2120992942","https://openalex.org/W2121382432","https://openalex.org/W2121920862","https://openalex.org/W2139865360","https://openalex.org/W2159583324","https://openalex.org/W2164205487","https://openalex.org/W2462398332","https://openalex.org/W2466370435","https://openalex.org/W2574835576"],"related_works":["https://openalex.org/W2350593162","https://openalex.org/W2390350206","https://openalex.org/W1969477129","https://openalex.org/W2921208823","https://openalex.org/W2353483812","https://openalex.org/W2131808775","https://openalex.org/W2130038259","https://openalex.org/W2408583470","https://openalex.org/W2400805797","https://openalex.org/W4290176225"],"abstract_inverted_index":{"BACKGROUND:":[0],"In":[1,136],"the":[2,25,38,75,78,105,225,299,303,308,340],"United":[3],"States,":[4],"795,000":[5],"people":[6],"suffer":[7],"strokes":[8,15],"each":[9],"year;":[10],"10-15":[11],"%":[12],"of":[13,40,77,107,146,152,236,357],"these":[14,193,237],"can":[16,93,103,318],"be":[17,94],"attributed":[18],"to":[19,177],"stenosis":[20,43,118,126,148,183,190,329,337],"caused":[21],"by":[22,111,323],"plaque":[23],"in":[24,150,219],"carotid":[26,42,63,84,117,125,147,182,189,215,328,336],"artery,":[27],"a":[28,353],"major":[29],"stroke":[30,361],"phenotype":[31],"risk":[32],"factor.":[33],"Studies":[34,86],"comparing":[35],"treatments":[36],"for":[37,46,83,198,230,240,351,360],"management":[39],"asymptomatic":[41],"are":[44,71,81,217],"challenging":[45],"at":[47],"least":[48],"two":[49,199],"reasons:":[50],"1)":[51],"administrative":[52],"billing":[53],"codes":[54],"(i.e.,":[55],"Current":[56],"Procedural":[57],"Terminology":[58],"(CPT)":[59],"codes)":[60],"that":[61,87,213,316],"identify":[62],"images":[64],"do":[65],"not":[66],"denote":[67],"which":[68],"neurovascular":[69],"arteries":[70],"affected":[72],"and":[73,97,120,133,160,204,227,233,256,262,279,289,331,347],"2)":[74],"majority":[76],"image":[79],"reports":[80,114,122,179,186,232,325,333],"negative":[82,257,280],"stenosis.":[85],"rely":[88],"on":[89],"manual":[90,108],"chart":[91,109,320],"abstraction":[92,110],"labor-intensive,":[95],"expensive,":[96],"time-consuming.":[98],"Natural":[99],"Language":[100],"Processing":[101],"(NLP)":[102],"expedite":[104],"process":[106],"automatically":[112],"filtering":[113,324],"with":[115,123,180,187,248,274,298,326,334],"no/insignificant":[116,188,327],"findings":[119,184,191,330,338],"flagging":[121,332],"significant":[124,181,335],"findings;":[127],"thus,":[128],"potentially":[129],"reducing":[130],"effort,":[131],"costs,":[132],"time.":[134],"METHODS:":[135],"this":[137],"pilot":[138],"study,":[139],"we":[140],"conducted":[141],"an":[142,172],"information":[143],"content":[144],"analysis":[145],"mentions":[149,216],"terms":[151],"their":[153],"report":[154,157,200,305],"location":[155],"(Sections),":[156],"formats":[158],"(structures)":[159],"linguistic":[161],"descriptions":[162],"(expressions)":[163],"from":[164,185,339],"Veteran":[165,341],"Health":[166,342],"Administration":[167,343],"free-text":[168],"reports.":[169],"We":[170,211,314],"assessed":[171],"NLP":[173],"algorithm,":[174],"pyConText's,":[175],"ability":[176],"discern":[178],"given":[192],"three":[194],"document":[195],"composition":[196],"factors":[197],"types:":[201],"radiology":[202],"(RAD)":[203],"text":[205],"integration":[206],"utility":[207,350],"(TIU)":[208],"notes.":[209,242],"RESULTS:":[210],"observed":[212],"most":[214],"recorded":[218],"prose":[220],"using":[221],"categorical":[222],"expressions,":[223],"within":[224,234],"Findings":[226,309],"Impression":[228],"sections":[229,239],"RAD":[231,244],"neither":[235],"designated":[238],"TIU":[241,270],"For":[243,269],"reports,":[245],"pyConText":[246,272,296,317],"performed":[247,273,297],"high":[249,275],"sensitivity":[250,286,301],"(88":[251],"%),":[252,255,284,288],"specificity":[253,276],"(84":[254],"predictive":[258,265,281,292],"value":[259,266,282,293],"(95":[260],"%)":[261,278],"reasonable":[263,285],"positive":[264,291],"(70":[267],"%).":[268,295],"notes,":[271],"(87":[277],"(92":[283],"(73":[287],"moderate":[290],"(58":[294],"highest":[300],"processing":[302],"full":[304],"rather":[306],"than":[307],"or":[310],"Impressions":[311],"independently.":[312],"CONCLUSION:":[313],"conclude":[315],"reduce":[319],"review":[321],"efforts":[322],"electronic":[344],"health":[345],"record,":[346],"hence":[348],"has":[349],"expediting":[352],"comparative":[354],"effectiveness":[355],"study":[356],"treatment":[358],"strategies":[359],"prevention.":[362]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":2}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}