{"id":"https://openalex.org/W169580636","doi":"https://doi.org/10.1136/amiajnl-2011-000597","title":"Impact of data fragmentation across healthcare centers on the accuracy of a high-throughput clinical phenotyping algorithm for specifying subjects with type 2 diabetes mellitus","display_name":"Impact of data fragmentation across healthcare centers on the accuracy of a high-throughput clinical phenotyping algorithm for specifying subjects with type 2 diabetes mellitus","publication_year":2012,"publication_date":"2012-01-16","ids":{"openalex":"https://openalex.org/W169580636","doi":"https://doi.org/10.1136/amiajnl-2011-000597","mag":"169580636","pmid":"https://pubmed.ncbi.nlm.nih.gov/22249968"},"language":"en","primary_location":{"id":"doi:10.1136/amiajnl-2011-000597","is_oa":true,"landing_page_url":"https://doi.org/10.1136/amiajnl-2011-000597","pdf_url":"https://academic.oup.com/jamia/article-pdf/19/2/219/17373912/19-2-219.pdf","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":"bronze","oa_url":"https://academic.oup.com/jamia/article-pdf/19/2/219/17373912/19-2-219.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040262386","display_name":"Wei\u2010Qi Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I1330342723","display_name":"Mayo Clinic","ror":"https://ror.org/02qp3tb03","country_code":"US","type":"funder","lineage":["https://openalex.org/I1330342723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei-Qi Wei","raw_affiliation_strings":["Institute for Health Informatics, University of Minnesota, Twin Cities, Minnesota, USA","Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Health Informatics, University of Minnesota, Twin Cities, Minnesota, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA","institution_ids":["https://openalex.org/I1330342723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108400490","display_name":"Cynthia L. Leibson","orcid":null},"institutions":[{"id":"https://openalex.org/I1330342723","display_name":"Mayo Clinic","ror":"https://ror.org/02qp3tb03","country_code":"US","type":"funder","lineage":["https://openalex.org/I1330342723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cynthia L Leibson","raw_affiliation_strings":["Division of Epidemiology, Mayo Clinic, Rochester, Minnesota, USA"],"affiliations":[{"raw_affiliation_string":"Division of Epidemiology, Mayo Clinic, Rochester, Minnesota, USA","institution_ids":["https://openalex.org/I1330342723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102714777","display_name":"Jeanine E. Ransom","orcid":"https://orcid.org/0000-0002-2131-1970"},"institutions":[{"id":"https://openalex.org/I1330342723","display_name":"Mayo Clinic","ror":"https://ror.org/02qp3tb03","country_code":"US","type":"funder","lineage":["https://openalex.org/I1330342723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeanine E Ransom","raw_affiliation_strings":["Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA"],"affiliations":[{"raw_affiliation_string":"Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA","institution_ids":["https://openalex.org/I1330342723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076495147","display_name":"Abel Kho","orcid":"https://orcid.org/0000-0003-1993-5634"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abel N Kho","raw_affiliation_strings":["Divisions of General Internal Medicine and Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA"],"affiliations":[{"raw_affiliation_string":"Divisions of General Internal Medicine and Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045680515","display_name":"Pedro J. Caraballo","orcid":"https://orcid.org/0000-0001-9050-7080"},"institutions":[{"id":"https://openalex.org/I4210146710","display_name":"Mayo Clinic in Florida","ror":"https://ror.org/03zzw1w08","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210146710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pedro J Caraballo","raw_affiliation_strings":["Division of General Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA"],"affiliations":[{"raw_affiliation_string":"Division of General Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA","institution_ids":["https://openalex.org/I4210146710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111731909","display_name":"High Seng Chai","orcid":null},"institutions":[{"id":"https://openalex.org/I1330342723","display_name":"Mayo Clinic","ror":"https://ror.org/02qp3tb03","country_code":"US","type":"funder","lineage":["https://openalex.org/I1330342723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"High Seng Chai","raw_affiliation_strings":["Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA"],"affiliations":[{"raw_affiliation_string":"Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA","institution_ids":["https://openalex.org/I1330342723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059135262","display_name":"Barbara P. Yawn","orcid":"https://orcid.org/0000-0001-7278-5810"},"institutions":[{"id":"https://openalex.org/I4210165821","display_name":"Olmsted Medical Center","ror":"https://ror.org/05qa36453","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210165821"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Barbara P Yawn","raw_affiliation_strings":["Department of Research, Olmsted Medical Center, Rochester, Minnesota, USA"],"affiliations":[{"raw_affiliation_string":"Department of Research, Olmsted Medical Center, Rochester, Minnesota, USA","institution_ids":["https://openalex.org/I4210165821"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007540286","display_name":"Jennifer A. Pacheco","orcid":"https://orcid.org/0000-0001-8021-5818"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer A Pacheco","raw_affiliation_strings":["Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA"],"affiliations":[{"raw_affiliation_string":"Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060390916","display_name":"Christopher G. Chute","orcid":"https://orcid.org/0000-0001-5437-2545"},"institutions":[{"id":"https://openalex.org/I1330342723","display_name":"Mayo Clinic","ror":"https://ror.org/02qp3tb03","country_code":"US","type":"funder","lineage":["https://openalex.org/I1330342723"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Christopher G Chute","raw_affiliation_strings":["Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA"],"affiliations":[{"raw_affiliation_string":"Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA","institution_ids":["https://openalex.org/I1330342723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5060390916"],"corresponding_institution_ids":["https://openalex.org/I1330342723"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":12.8959,"has_fulltext":true,"cited_by_count":113,"citation_normalized_percentile":{"value":0.98697746,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":"2","first_page":"219","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.13249999284744263,"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":0.13249999284744263,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.11180000007152557,"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"}},{"id":"https://openalex.org/T10350","display_name":"Electronic Health Records Systems","score":0.09799999743700027,"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/mcnemars-test","display_name":"McNemar's test","score":0.8440977931022644},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.7205373048782349},{"id":"https://openalex.org/keywords/type-2-diabetes-mellitus","display_name":"Type 2 Diabetes Mellitus","score":0.6556581854820251},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5150525569915771},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.451936811208725},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.4478161334991455},{"id":"https://openalex.org/keywords/gold-standard","display_name":"Gold standard (test)","score":0.42129814624786377},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.4180299639701843},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.3738541901111603},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35715556144714355},{"id":"https://openalex.org/keywords/gerontology","display_name":"Gerontology","score":0.3253909647464752},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.267800509929657},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.15262305736541748},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1497374176979065},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.10067015886306763},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09224194288253784}],"concepts":[{"id":"https://openalex.org/C186282968","wikidata":"https://www.wikidata.org/wiki/Q1434261","display_name":"McNemar's test","level":2,"score":0.8440977931022644},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7205373048782349},{"id":"https://openalex.org/C2910068830","wikidata":"https://www.wikidata.org/wiki/Q3025883","display_name":"Type 2 Diabetes Mellitus","level":3,"score":0.6556581854820251},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5150525569915771},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.451936811208725},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.4478161334991455},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.42129814624786377},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.4180299639701843},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.3738541901111603},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35715556144714355},{"id":"https://openalex.org/C74909509","wikidata":"https://www.wikidata.org/wiki/Q10387","display_name":"Gerontology","level":1,"score":0.3253909647464752},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.267800509929657},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.15262305736541748},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1497374176979065},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.10067015886306763},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09224194288253784},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","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/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","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}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000554","descriptor_name":"Ambulatory Care Facilities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000554","descriptor_name":"Ambulatory Care Facilities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000554","descriptor_name":"Ambulatory Care Facilities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D003951","descriptor_name":"Diagnostic Errors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003951","descriptor_name":"Diagnostic Errors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003951","descriptor_name":"Diagnostic Errors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008910","descriptor_name":"Minnesota","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008910","descriptor_name":"Minnesota","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008910","descriptor_name":"Minnesota","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017677","descriptor_name":"Age Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017677","descriptor_name":"Age Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017677","descriptor_name":"Age Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017678","descriptor_name":"Sex Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017678","descriptor_name":"Sex Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017678","descriptor_name":"Sex Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1136/amiajnl-2011-000597","is_oa":true,"landing_page_url":"https://doi.org/10.1136/amiajnl-2011-000597","pdf_url":"https://academic.oup.com/jamia/article-pdf/19/2/219/17373912/19-2-219.pdf","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:22249968","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22249968","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:europepmc.org:2583867","is_oa":false,"landing_page_url":"http://europepmc.org/articles/PMC3277630","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":"pmh:oai:pubmedcentral.nih.gov:3277630","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3277630","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1136/amiajnl-2011-000597","is_oa":true,"landing_page_url":"https://doi.org/10.1136/amiajnl-2011-000597","pdf_url":"https://academic.oup.com/jamia/article-pdf/19/2/219/17373912/19-2-219.pdf","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"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309636","display_name":"University of Minnesota","ror":"https://ror.org/03grvy078"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W169580636.pdf","grobid_xml":"https://content.openalex.org/works/W169580636.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W70066085","https://openalex.org/W74506638","https://openalex.org/W337026903","https://openalex.org/W1565377632","https://openalex.org/W1860425954","https://openalex.org/W1994373518","https://openalex.org/W1997057722","https://openalex.org/W2009665286","https://openalex.org/W2034913020","https://openalex.org/W2050503581","https://openalex.org/W2051743300","https://openalex.org/W2053005868","https://openalex.org/W2054590415","https://openalex.org/W2064337796","https://openalex.org/W2084413241","https://openalex.org/W2097820329","https://openalex.org/W2103748332","https://openalex.org/W2104198823","https://openalex.org/W2105109647","https://openalex.org/W2105714645","https://openalex.org/W2110703451","https://openalex.org/W2111220320","https://openalex.org/W2114137920","https://openalex.org/W2127791615","https://openalex.org/W2137393443","https://openalex.org/W2141475634","https://openalex.org/W2153721177","https://openalex.org/W2324682309","https://openalex.org/W2409136355"],"related_works":["https://openalex.org/W2496304792","https://openalex.org/W4250308522","https://openalex.org/W2149889956","https://openalex.org/W2064023586","https://openalex.org/W3042196240","https://openalex.org/W2245747428","https://openalex.org/W2414148986","https://openalex.org/W2034676184","https://openalex.org/W3021093864","https://openalex.org/W2043241239"],"abstract_inverted_index":{"The":[0],"findings":[1,20],"show":[2],"that":[3],"application":[4],"of":[5],"an":[6],"HTCP":[7,31],"algorithm":[8],"using":[9],"data":[10],"from":[11],"a":[12],"single":[13],"medical":[14],"center":[15],"contributes":[16],"to":[17],"misclassification.":[18],"These":[19],"should":[21],"be":[22],"considered":[23],"carefully":[24],"by":[25],"researchers":[26],"when":[27],"developing":[28],"and":[29],"executing":[30],"algorithms.":[32]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":2}],"updated_date":"2026-03-03T08:47:05.690250","created_date":"2025-10-10T00:00:00"}
