Development and Validation of Algorithms to Identify COVID-19 Patients Using a US Electronic Health Records Database: A Retrospective Cohort Study.

Brown, Carolyn A; Londhe, Ajit A; He, Fang; Cheng, Alvan; Ma, Junjie; Zhang, Jie; Brooks, Corinne G; Sprafka, J Michael; Roehl, Kimberly A; Carlson, Katherine B; Page, John H

Brown, Carolyn A; Londhe, Ajit A; He, Fang; Cheng, Alvan; Ma, Junjie; Zhang, Jie; Brooks, Corinne G; Sprafka, J Michael; Roehl, Kimberly A; Carlson, Katherine B; Page, John H.

Affiliation

Brown CA; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
Londhe AA; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
He F; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
Cheng A; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
Ma J; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
Zhang J; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
Brooks CG; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
Sprafka JM; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
Roehl KA; Woodford Research Associates, Thousand Oaks, CA, USA.
Carlson KB; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
Page JH; Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.

Clin Epidemiol ; 14: 699-709, 2022.

Article de En | MEDLINE | ID: mdl-35633659

Mots clés

COVID-19; SARS-CoV-2; epidemiology; validation; verification bias

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Etiology_studies / Observational_studies Langue: En Journal: Clin Epidemiol Année: 2022 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

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