{"id":"https://openalex.org/W4396976680","doi":"https://doi.org/10.1093/jamia/ocae121","title":"A general framework for developing computable clinical phenotype algorithms","display_name":"A general framework for developing computable clinical phenotype algorithms","publication_year":2024,"publication_date":"2024-05-14","ids":{"openalex":"https://openalex.org/W4396976680","doi":"https://doi.org/10.1093/jamia/ocae121","pmid":"https://pubmed.ncbi.nlm.nih.gov/38748991"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocae121","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocae121","pdf_url":"https://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocae121/57687277/ocae121.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/advance-article-pdf/doi/10.1093/jamia/ocae121/57687277/ocae121.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041212198","display_name":"David Carrell","orcid":"https://orcid.org/0000-0002-8471-0928"},"institutions":[{"id":"https://openalex.org/I150117356","display_name":"Kaiser Permanente Washington Health Research Institute","ror":"https://ror.org/0027frf26","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I150117356"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David S Carrell","raw_affiliation_strings":["Kaiser Permanente Washington Health Research Institute , Seattle, WA 98101, United States"],"raw_orcid":"https://orcid.org/0000-0002-8471-0928","affiliations":[{"raw_affiliation_string":"Kaiser Permanente Washington Health Research Institute , Seattle, WA 98101, United States","institution_ids":["https://openalex.org/I150117356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060145270","display_name":"James S. Floyd","orcid":"https://orcid.org/0000-0002-0365-9041"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James S Floyd","raw_affiliation_strings":["Department of Epidemiology, School of Public Health, University of Washington , Seattle, WA 98195, United States","Department of Medicine, School of Medicine, University of Washington , Seattle, WA 98195, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology, School of Public Health, University of Washington , Seattle, WA 98195, United States","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Department of Medicine, School of Medicine, University of Washington , Seattle, WA 98195, United States","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048956065","display_name":"Susan Gruber","orcid":"https://orcid.org/0000-0003-0127-0099"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Susan Gruber","raw_affiliation_strings":["Putnam Data Sciences, LLC , Cambridge, MA 02139, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Putnam Data Sciences, LLC , Cambridge, MA 02139, United States","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039253208","display_name":"Brian Hazlehurst","orcid":"https://orcid.org/0000-0001-9365-3964"},"institutions":[{"id":"https://openalex.org/I4210114677","display_name":"Kaiser Permanente Center for Health Research","ror":"https://ror.org/028gzjv13","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1343052199","https://openalex.org/I4210114677"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian L Hazlehurst","raw_affiliation_strings":["Center for Health Research, Kaiser Permanente Northwest , Portland, OR 97227, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Health Research, Kaiser Permanente Northwest , Portland, OR 97227, United States","institution_ids":["https://openalex.org/I4210114677"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048846220","display_name":"Patrick J. Heagerty","orcid":"https://orcid.org/0000-0002-3403-6007"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick J Heagerty","raw_affiliation_strings":["Department of Biostatistics, School of Public Health, University of Washington , Seattle, WA 98195, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, School of Public Health, University of Washington , Seattle, WA 98195, United States","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102959639","display_name":"Jennifer C. Nelson","orcid":"https://orcid.org/0000-0002-2968-2661"},"institutions":[{"id":"https://openalex.org/I150117356","display_name":"Kaiser Permanente Washington Health Research Institute","ror":"https://ror.org/0027frf26","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I150117356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer C Nelson","raw_affiliation_strings":["Kaiser Permanente Washington Health Research Institute , Seattle, WA 98101, United States"],"raw_orcid":"https://orcid.org/0000-0002-2968-2661","affiliations":[{"raw_affiliation_string":"Kaiser Permanente Washington Health Research Institute , Seattle, WA 98101, United States","institution_ids":["https://openalex.org/I150117356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103218929","display_name":"Brian D. Williamson","orcid":"https://orcid.org/0000-0002-7024-548X"},"institutions":[{"id":"https://openalex.org/I150117356","display_name":"Kaiser Permanente Washington Health Research Institute","ror":"https://ror.org/0027frf26","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I150117356"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian D Williamson","raw_affiliation_strings":["Kaiser Permanente Washington Health Research Institute , Seattle, WA 98101, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kaiser Permanente Washington Health Research Institute , Seattle, WA 98101, United States","institution_ids":["https://openalex.org/I150117356"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036429950","display_name":"Robert Ball","orcid":"https://orcid.org/0000-0002-1609-7420"},"institutions":[{"id":"https://openalex.org/I1320320070","display_name":"United States Food and Drug Administration","ror":"https://ror.org/034xvzb47","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1320320070"]},{"id":"https://openalex.org/I1333606569","display_name":"Center for Drug Evaluation and Research","ror":"https://ror.org/00yf3tm42","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1320320070","https://openalex.org/I1333606569"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Ball","raw_affiliation_strings":["Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, United States Food and Drug Administration , Silver Spring, MD 20993, United States"],"raw_orcid":"https://orcid.org/0000-0002-1609-7420","affiliations":[{"raw_affiliation_string":"Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, United States Food and Drug Administration , Silver Spring, MD 20993, United States","institution_ids":["https://openalex.org/I1333606569","https://openalex.org/I1320320070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5041212198"],"corresponding_institution_ids":["https://openalex.org/I150117356"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":2.0137,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.87025375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"31","issue":"8","first_page":"1785","last_page":"1796"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.42649999260902405,"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"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.42649999260902405,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.19619999825954437,"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/T11642","display_name":"Genomics and Rare Diseases","score":0.05209999904036522,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7297293543815613},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.623542308807373},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6042422652244568},{"id":"https://openalex.org/keywords/informatics","display_name":"Informatics","score":0.5296295285224915},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4713679552078247},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47030729055404663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4663846492767334},{"id":"https://openalex.org/keywords/development","display_name":"Development (topology)","score":0.42812949419021606},{"id":"https://openalex.org/keywords/elaboration","display_name":"Elaboration","score":0.421054482460022},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4198595881462097},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41875147819519043},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3783642053604126},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.3355681300163269},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10761195421218872}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7297293543815613},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.623542308807373},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6042422652244568},{"id":"https://openalex.org/C191630685","wikidata":"https://www.wikidata.org/wiki/Q4027615","display_name":"Informatics","level":2,"score":0.5296295285224915},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4713679552078247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47030729055404663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4663846492767334},{"id":"https://openalex.org/C2776542497","wikidata":"https://www.wikidata.org/wiki/Q5266672","display_name":"Development (topology)","level":2,"score":0.42812949419021606},{"id":"https://openalex.org/C2779192218","wikidata":"https://www.wikidata.org/wiki/Q16944486","display_name":"Elaboration","level":2,"score":0.421054482460022},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4198595881462097},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41875147819519043},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3783642053604126},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.3355681300163269},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10761195421218872},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","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":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":"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":"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":"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":"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":"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":"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":"D057286","descriptor_name":"Electronic Health Records","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":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","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":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","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":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","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":true}],"locations_count":3,"locations":[{"id":"doi:10.1093/jamia/ocae121","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocae121","pdf_url":"https://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocae121/57687277/ocae121.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:38748991","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38748991","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:11258420","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11258420","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":"doi:10.1093/jamia/ocae121","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocae121","pdf_url":"https://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocae121/57687277/ocae121.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":[],"awards":[{"id":"https://openalex.org/G7899721138","display_name":null,"funder_award_id":"75F40119F19002","funder_id":"https://openalex.org/F4320332163","funder_display_name":"U.S. Food and Drug Administration"},{"id":"https://openalex.org/G7928494562","display_name":null,"funder_award_id":"75F40119D10037","funder_id":"https://openalex.org/F4320332163","funder_display_name":"U.S. Food and Drug Administration"}],"funders":[{"id":"https://openalex.org/F4320332163","display_name":"U.S. Food and Drug Administration","ror":"https://ror.org/034xvzb47"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396976680.pdf"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W61851215","https://openalex.org/W1522926410","https://openalex.org/W1678883934","https://openalex.org/W1941659294","https://openalex.org/W1968030701","https://openalex.org/W2027867013","https://openalex.org/W2038152972","https://openalex.org/W2039818644","https://openalex.org/W2050187883","https://openalex.org/W2052951012","https://openalex.org/W2061886572","https://openalex.org/W2063131612","https://openalex.org/W2069378996","https://openalex.org/W2074931707","https://openalex.org/W2089463633","https://openalex.org/W2092970016","https://openalex.org/W2093274439","https://openalex.org/W2099119910","https://openalex.org/W2105637130","https://openalex.org/W2113952938","https://openalex.org/W2119910794","https://openalex.org/W2121628382","https://openalex.org/W2126092816","https://openalex.org/W2130219862","https://openalex.org/W2130373985","https://openalex.org/W2145758369","https://openalex.org/W2149569695","https://openalex.org/W2160870552","https://openalex.org/W2168769804","https://openalex.org/W2174770797","https://openalex.org/W2209559096","https://openalex.org/W2640294447","https://openalex.org/W2734529201","https://openalex.org/W2735580341","https://openalex.org/W2754542146","https://openalex.org/W2765693998","https://openalex.org/W2804842126","https://openalex.org/W2807046356","https://openalex.org/W2889124355","https://openalex.org/W2902452806","https://openalex.org/W2965414772","https://openalex.org/W2991319174","https://openalex.org/W2992885821","https://openalex.org/W3016229786","https://openalex.org/W3018877629","https://openalex.org/W3125746503","https://openalex.org/W3132568032","https://openalex.org/W3192196303","https://openalex.org/W3203251160","https://openalex.org/W3212976119","https://openalex.org/W4221040110","https://openalex.org/W4233056867","https://openalex.org/W4280596853","https://openalex.org/W4285743140","https://openalex.org/W4293056291","https://openalex.org/W4303082443","https://openalex.org/W4308184843","https://openalex.org/W4323921070","https://openalex.org/W4389903773","https://openalex.org/W4391744832","https://openalex.org/W6637436008","https://openalex.org/W6685326734","https://openalex.org/W6800391915","https://openalex.org/W6802034000"],"related_works":["https://openalex.org/W2397677514","https://openalex.org/W2914293784","https://openalex.org/W2407382301","https://openalex.org/W1495820741","https://openalex.org/W4323056170","https://openalex.org/W2126732312","https://openalex.org/W2401910071","https://openalex.org/W2189429352","https://openalex.org/W4302329558","https://openalex.org/W1971571384"],"abstract_inverted_index":{"OBJECTIVE:":[0],"To":[1],"present":[2],"a":[3,23,148],"general":[4],"framework":[5,138],"providing":[6],"high-level":[7],"guidance":[8,144],"to":[9,31,39,141],"developers":[10],"of":[11,25,85,90,107],"computable":[12],"algorithms":[13],"for":[14,65,96,150],"identifying":[15],"patients":[16],"with":[17,70],"specific":[18],"clinical":[19,73],"conditions":[20],"(phenotypes)":[21],"through":[22],"variety":[24],"approaches,":[26],"including":[27],"but":[28],"not":[29],"limited":[30],"machine":[32],"learning":[33],"and":[34,55,78,87,93,110,114,130,145,153],"natural":[35],"language":[36],"processing":[37],"methods":[38,82],"incorporate":[40],"rich":[41],"electronic":[42],"health":[43],"record":[44],"data.":[45],"MATERIALS":[46],"AND":[47,135],"METHODS:":[48],"Drawing":[49],"on":[50],"extensive":[51],"prior":[52],"phenotyping":[53],"experiences":[54],"insights":[56],"derived":[57],"from":[58],"3":[59],"algorithm":[60,99,108],"development":[61,86,100,109],"projects":[62],"conducted":[63],"specifically":[64],"this":[66],"purpose,":[67],"our":[68],"team":[69],"expertise":[71],"in":[72],"medicine,":[74],"statistics,":[75],"informatics,":[76],"pharmacoepidemiology,":[77],"healthcare":[79],"data":[80],"science":[81],"conceptualized":[83],"stages":[84,106],"corresponding":[88,111],"sets":[89],"principles,":[91,112],"strategies,":[92,113],"practical":[94,143],"guidelines":[95],"improving":[97],"the":[98],"process.":[101],"RESULTS:":[102],"We":[103],"propose":[104],"5":[105],"guidelines:":[115],"(1)":[116],"assessing":[117],"fitness-for-purpose,":[118],"(2)":[119],"creating":[120],"gold":[121],"standard":[122],"data,":[123],"(3)":[124],"feature":[125],"engineering,":[126],"(4)":[127],"model":[128,132],"development,":[129],"(5)":[131],"evaluation.":[133],"DISCUSSION":[134],"CONCLUSION:":[136],"This":[137],"is":[139],"intended":[140],"provide":[142],"serve":[146],"as":[147],"basis":[149],"future":[151],"elaboration":[152],"extension.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-29T09:21:14.243279","created_date":"2025-10-10T00:00:00"}