{"id":"https://openalex.org/W2996582092","doi":"https://doi.org/10.1093/jamia/ocz199","title":"Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm","display_name":"Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm","publication_year":2019,"publication_date":"2019-10-23","ids":{"openalex":"https://openalex.org/W2996582092","doi":"https://doi.org/10.1093/jamia/ocz199","mag":"2996582092","pmid":"https://pubmed.ncbi.nlm.nih.gov/31816040"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocz199","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocz199","pdf_url":"https://academic.oup.com/jamia/article-pdf/27/3/376/34152548/ocz199.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/27/3/376/34152548/ocz199.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089178051","display_name":"Rui Duan","orcid":"https://orcid.org/0000-0002-9261-4864"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rui Duan","raw_affiliation_strings":["Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0000-0002-9261-4864","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002364120","display_name":"Mary Regina Boland","orcid":"https://orcid.org/0000-0001-8576-6408"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mary Regina Boland","raw_affiliation_strings":["Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0000-0001-8576-6408","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728218","display_name":"Zixuan Liu","orcid":"https://orcid.org/0000-0002-5730-9987"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zixuan Liu","raw_affiliation_strings":["Department of Electrical Engineering, Stanford University, Stanford, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University, Stanford, California, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320058","display_name":"Yue Liu","orcid":"https://orcid.org/0000-0002-2637-230X"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yue Liu","raw_affiliation_strings":["Department of Statistics, Harvard University, Cambridge, Massachusetts, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Harvard University, Cambridge, Massachusetts, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000225915","display_name":"Howard H. Chang","orcid":"https://orcid.org/0000-0002-6316-1640"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Howard H Chang","raw_affiliation_strings":["Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084072550","display_name":"Hua Xu","orcid":"https://orcid.org/0000-0002-5274-4672"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hua Xu","raw_affiliation_strings":["School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004584518","display_name":"Haitao Chu","orcid":"https://orcid.org/0000-0003-0932-598X"},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haitao Chu","raw_affiliation_strings":["Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101973849","display_name":"Christopher H. Schmid","orcid":"https://orcid.org/0000-0002-0855-5313"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher H Schmid","raw_affiliation_strings":["Department of Biostatistics, Brown University, Providence, Rhode Island, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Brown University, Providence, Rhode Island, USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005348970","display_name":"Christopher B. Forrest","orcid":"https://orcid.org/0000-0003-1252-068X"},"institutions":[{"id":"https://openalex.org/I1335321130","display_name":"Children's Hospital of Philadelphia","ror":"https://ror.org/01z7r7q48","country_code":"US","type":"funder","lineage":["https://openalex.org/I1335321130"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher B Forrest","raw_affiliation_strings":["Division of General Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of General Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I1335321130"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032708536","display_name":"John H. Holmes","orcid":"https://orcid.org/0000-0003-2167-3602"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John H Holmes","raw_affiliation_strings":["Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077586396","display_name":"Martijn J. Schuemie","orcid":"https://orcid.org/0000-0002-0817-5361"},"institutions":[{"id":"https://openalex.org/I4210151386","display_name":"Janssen (United States)","ror":"https://ror.org/05af73403","country_code":"US","type":"company","lineage":["https://openalex.org/I1330063522","https://openalex.org/I4210151386"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martijn J Schuemie","raw_affiliation_strings":["Janssen Research and Development LLC, Titusville, New Jersey, USA"],"raw_orcid":"https://orcid.org/0000-0002-0817-5361","affiliations":[{"raw_affiliation_string":"Janssen Research and Development LLC, Titusville, New Jersey, USA","institution_ids":["https://openalex.org/I4210151386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051242364","display_name":"Jesse A. Berlin","orcid":"https://orcid.org/0000-0002-9810-745X"},"institutions":[{"id":"https://openalex.org/I4210151386","display_name":"Janssen (United States)","ror":"https://ror.org/05af73403","country_code":"US","type":"company","lineage":["https://openalex.org/I1330063522","https://openalex.org/I4210151386"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jesse A Berlin","raw_affiliation_strings":["Janssen Research and Development LLC, Titusville, New Jersey, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Janssen Research and Development LLC, Titusville, New Jersey, USA","institution_ids":["https://openalex.org/I4210151386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032971510","display_name":"Jason H. Moore","orcid":"https://orcid.org/0000-0002-5015-1099"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason H Moore","raw_affiliation_strings":["Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454438","display_name":"Yong Chen","orcid":"https://orcid.org/0000-0003-0835-0788"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yong Chen","raw_affiliation_strings":["Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0000-0003-0835-0788","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":14,"corresponding_author_ids":["https://openalex.org/A5100454438"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":7.3755,"has_fulltext":false,"cited_by_count":107,"citation_normalized_percentile":{"value":0.97689981,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"27","issue":"3","first_page":"376","last_page":"385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.657800018787384,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.657800018787384,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.07829999923706055,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.04960000142455101,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.683374285697937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6119408011436462},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5685664415359497},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4730849862098694},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46736666560173035},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.42707839608192444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2530636191368103},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20261970162391663}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.683374285697937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6119408011436462},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5685664415359497},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4730849862098694},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46736666560173035},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.42707839608192444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2530636191368103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20261970162391663},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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":[{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","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":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003219","descriptor_name":"Confidentiality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003219","descriptor_name":"Confidentiality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003219","descriptor_name":"Confidentiality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003219","descriptor_name":"Confidentiality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005313","descriptor_name":"Fetal Death","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":false},{"descriptor_ui":"D005313","descriptor_name":"Fetal Death","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":false},{"descriptor_ui":"D005313","descriptor_name":"Fetal Death","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":false},{"descriptor_ui":"D005313","descriptor_name":"Fetal Death","qualifier_ui":"Q000209","qualifier_name":"etiology","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":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016017","descriptor_name":"Odds Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016017","descriptor_name":"Odds Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016017","descriptor_name":"Odds Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016017","descriptor_name":"Odds Ratio","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":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":"D064420","descriptor_name":"Drug-Related Side Effects and Adverse Reactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D064420","descriptor_name":"Drug-Related Side Effects and Adverse Reactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D064420","descriptor_name":"Drug-Related Side Effects and Adverse Reactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D064420","descriptor_name":"Drug-Related Side Effects and Adverse Reactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/jamia/ocz199","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocz199","pdf_url":"https://academic.oup.com/jamia/article-pdf/27/3/376/34152548/ocz199.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:31816040","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31816040","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:7025371","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7025371","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/ocz199","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocz199","pdf_url":"https://academic.oup.com/jamia/article-pdf/27/3/376/34152548/ocz199.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":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G1413019591","display_name":null,"funder_award_id":"1R01AI130460","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3317517015","display_name":null,"funder_award_id":"1R01LM012607","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G586946364","display_name":null,"funder_award_id":"R01LM009012","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6169877948","display_name":null,"funder_award_id":"P50MH113840","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8220595071","display_name":null,"funder_award_id":"1R01AI116794","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W340417874","https://openalex.org/W1584440336","https://openalex.org/W1946622722","https://openalex.org/W2098376057","https://openalex.org/W2108167590","https://openalex.org/W2122385001","https://openalex.org/W2123737882","https://openalex.org/W2133710399","https://openalex.org/W2148554370","https://openalex.org/W2152558528","https://openalex.org/W2157440718","https://openalex.org/W2338233617","https://openalex.org/W2410097662","https://openalex.org/W2592385888","https://openalex.org/W2725826768","https://openalex.org/W2759618036","https://openalex.org/W2775569101","https://openalex.org/W2789966595","https://openalex.org/W2902433360","https://openalex.org/W2964231067","https://openalex.org/W4237779848","https://openalex.org/W6634959425","https://openalex.org/W6703497757","https://openalex.org/W6729806161"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W4281634296","https://openalex.org/W4319161863","https://openalex.org/W2371687270","https://openalex.org/W4311888330"],"abstract_inverted_index":{"OBJECTIVES:":[0],"We":[1,65,169],"propose":[2],"a":[3,76],"one-shot,":[4],"privacy-preserving":[5,239],"distributed":[6],"algorithm":[7],"to":[8,51,75,204,217],"perform":[9],"logistic":[10],"regression":[11,230],"(ODAL)":[12],"across":[13,59],"multiple":[14],"clinical":[15],"sites.":[16],"MATERIALS":[17],"AND":[18],"METHODS:":[19],"ODAL":[20,67,237],"effectively":[21],"utilizes":[22],"the":[23,26,30,37,45,79,94,98,115,123,129,159,205,218,224,229],"information":[24],"from":[25,48,78,201,214],"local":[27,206,219],"site":[28,203,207,216],"(where":[29],"patient-level":[31,63],"data":[32,102,105,155],"are":[33],"accessible)":[34],"and":[35,40,72,128,147,183,208,240,245],"incorporates":[36],"first-order":[38],"(ODAL1)":[39],"second-order":[41],"(ODAL2)":[42],"gradients":[43],"of":[44,81,119,131,149,161,181,191,226],"likelihood":[46],"function":[47],"other":[49],"sites":[50,60],"construct":[52],"an":[53,73],"estimator":[54,95],"without":[55],"requiring":[56],"iterative":[57],"communication":[58,194],"or":[61,103],"transferring":[62,198,211],"data.":[64],"evaluated":[66,89],"via":[68],"extensive":[69],"simulation":[70,111],"studies":[71,112],"application":[74],"dataset":[77],"University":[80],"Pennsylvania":[82],"Health":[83],"System.":[84],"The":[85],"estimation":[86,117],"accuracy":[87,142],"was":[88,126,134],"by":[90],"comparing":[91],"it":[92],"with":[93,122,164,175,242],"based":[96],"on":[97],"combined":[99],"individual":[100],"participant":[101],"pooled":[104,124],"(ie,":[106],"gold":[107],"standard).":[108],"RESULTS:":[109],"Our":[110],"revealed":[113],"that":[114,171,236],"relative":[116,144,176,186],"bias":[118,145,177,187,244],"ODAL1":[120,172,196],"compared":[121],"estimates":[125,174],"<3%,":[127],"ratio":[130,148],"standard":[132,150],"errors":[133,151],"<1.25":[135],"for":[136,179,189],"all":[137],"scenarios.":[138],"ODAL2":[139,184,209],"achieved":[140],"higher":[141],"(with":[143],"<0.1%":[146],"<1.05).":[152],"In":[153],"real":[154],"analysis,":[156],"we":[157],"investigated":[158],"associations":[160],"100":[162],"medications":[163],"fetal":[165],"loss":[166],"during":[167],"pregnancy.":[168],"found":[170],"provided":[173],"<10%":[178,188],"85%":[180],"medications,":[182],"has":[185],"99%":[190],"medications.":[192],"For":[193],"cost,":[195],"requires":[197,210],"p":[199,222],"numbers":[200,213],"each":[202,215],"(p\u00d7p+p)":[212],"site,":[220],"where":[221],"is":[223,238],"number":[225],"parameters":[227],"in":[228],"model.":[231],"CONCLUSIONS:":[232],"This":[233],"study":[234],"demonstrates":[235],"communication-efficient":[241],"small":[243],"high":[246],"statistical":[247],"efficiency.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-17T08:01:34.144755","created_date":"2025-10-10T00:00:00"}