{"id":"https://openalex.org/W4200525574","doi":"https://doi.org/10.1016/j.ajog.2021.11.131","title":"EHR phenotyping by Natural Language Processing improves detection of patients at risk for preeclampsia","display_name":"EHR phenotyping by Natural Language Processing improves detection of patients at risk for preeclampsia","publication_year":2021,"publication_date":"2021-12-23","ids":{"openalex":"https://openalex.org/W4200525574","doi":"https://doi.org/10.1016/j.ajog.2021.11.131"},"language":"en","primary_location":{"id":"doi:10.1016/j.ajog.2021.11.131","doi":"https://doi.org/10.1016/j.ajog.2021.11.131","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ajog.2021.11.131","pdf_url":null,"source":{"id":"https://openalex.org/S122347013","display_name":"American Journal of Obstetrics and Gynecology","issn_l":"0002-9378","issn":["0002-9378","1085-8709","1097-6868"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-3","medline","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"American Journal of Obstetrics and Gynecology","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036495966","display_name":"Melissa Spring Wong","orcid":"https://orcid.org/0000-0002-8591-9512","observed_orcids":["https://orcid.org/0000-0002-8591-9512"]},"institutions":[{"id":"https://openalex.org/I1282927834","display_name":"Cedars-Sinai Medical Center","ror":"https://ror.org/02pammg90","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1282927834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melissa S. Wong","raw_affiliation_strings":["Cedars-Sinai Medical Center, Los Angeles, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cedars-Sinai Medical Center, Los Angeles, CA","institution_ids":["https://openalex.org/I1282927834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101145568","display_name":"Matthew Wells","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1282927834","display_name":"Cedars-Sinai Medical Center","ror":"https://ror.org/02pammg90","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1282927834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Wells","raw_affiliation_strings":["Cedars-Sinai Medical Center, Los Angeles, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cedars-Sinai Medical Center, Los Angeles, CA","institution_ids":["https://openalex.org/I1282927834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010144476","display_name":"Kristin Parrinella","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1282927834","display_name":"Cedars-Sinai Medical Center","ror":"https://ror.org/02pammg90","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1282927834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kristin Parrinella","raw_affiliation_strings":["Cedars-Sinai Medical Center, Los Angeles, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cedars-Sinai Medical Center, Los Angeles, CA","institution_ids":["https://openalex.org/I1282927834"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038171106","display_name":"Kimberly D. Gregory","orcid":"https://orcid.org/0000-0003-2313-9200","observed_orcids":["https://orcid.org/0000-0003-2313-9200"]},"institutions":[{"id":"https://openalex.org/I1282927834","display_name":"Cedars-Sinai Medical Center","ror":"https://ror.org/02pammg90","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1282927834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kimberly D. Gregory","raw_affiliation_strings":["Cedars-Sinai Medical Center, Los Angeles, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cedars-Sinai Medical Center, Los Angeles, CA","institution_ids":["https://openalex.org/I1282927834"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1282927834"],"apc_list":{"value":4240,"currency":"USD","value_usd":4240},"apc_paid":null,"fwci":0.0884,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.44984706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"226","issue":"1","first_page":"S65","last_page":"S66"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9628999829292297,"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":0.9628999829292297,"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/T10290","display_name":"Pregnancy and preeclampsia studies","score":0.018699999898672104,"subfield":{"id":"https://openalex.org/subfields/2729","display_name":"Obstetrics and Gynecology"},"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":0.004999999888241291,"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/preeclampsia","display_name":"preeclampsia","score":0.9789999723434448},{"id":"https://openalex.org/keywords/aspirin-prophylaxis","display_name":"aspirin prophylaxis","score":0.902999997138977},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"natural language processing","score":0.9959999918937683},{"id":"https://openalex.org/keywords/bert","display_name":"BERT","score":0.9629999995231628},{"id":"https://openalex.org/keywords/risk-factor-identification","display_name":"risk factor identification","score":0.6420000195503235},{"id":"https://openalex.org/keywords/prenatal-care","display_name":"prenatal care","score":0.7110000252723694},{"id":"https://openalex.org/keywords/icd-10-codes","display_name":"ICD-10 codes","score":0.7129999995231628},{"id":"https://openalex.org/keywords/clinical-decision-support","display_name":"clinical decision support","score":0.42100000381469727}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.9393842220306396},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.485840767621994},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.4654883146286011},{"id":"https://openalex.org/C167135981","wikidata":"https://www.wikidata.org/wiki/Q2146302","display_name":"Retrospective cohort study","level":2,"score":0.4344092905521393},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.43006834387779236},{"id":"https://openalex.org/C2777628954","wikidata":"https://www.wikidata.org/wiki/Q18216","display_name":"Aspirin","level":2,"score":0.4238608777523041},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.402972012758255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3713154196739197},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.36128202080726624},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34842556715011597},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3230826258659363},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.16462582349777222},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.ajog.2021.11.131","doi":"https://doi.org/10.1016/j.ajog.2021.11.131","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ajog.2021.11.131","pdf_url":null,"source":{"id":"https://openalex.org/S122347013","display_name":"American Journal of Obstetrics and Gynecology","issn_l":"0002-9378","issn":["0002-9378","1085-8709","1097-6868"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-3","medline","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"American Journal of Obstetrics and Gynecology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":1.0,"display_name":"Good health and well-being"}],"study_designs":[{"id":"https://openalex.org/study-designs/observational-study","display_name":"Observational Study"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4313644183","https://openalex.org/W3210516919","https://openalex.org/W3013183482","https://openalex.org/W4281703125","https://openalex.org/W7117458831","https://openalex.org/W4417154792","https://openalex.org/W3208338490","https://openalex.org/W7120553883","https://openalex.org/W4385897663","https://openalex.org/W7202012432"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2021-12-31T00:00:00"}