About: International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium

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scientific article published on 19 August 2020

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) artículu científicu espublizáu n'agostu de 2020 (ast) наукова стаття, опублікована 19 серпня 2020 (uk) scientific article published on 19 August 2020 (en)
publication date	wds:Q99631136-A9C4E52E-15B4-4AA0-9C46-895E344FE3DE
publication date	2020-08-19 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q99631136-1267B2B4-4A16-4079-B4BA-942AEF8A27D9
language of work or name	English
cites work	wds:Q99631136-0A711CB8-0C59-4F5E-9A90-EE5F6C8A5C7E wds:Q99631136-19B4C257-01E4-44DB-9194-52211A319F84 wds:Q99631136-2BA7C22F-A534-4334-B422-37B087EA1C64 wds:Q99631136-38052821-BDCD-4E7B-B25A-E1D1D976B32A wds:Q99631136-3AE0204C-6550-42D0-A468-B4555245A611 wds:Q99631136-498D9F29-143A-4519-9EA1-52C92EF2DFF9 wds:Q99631136-4A551404-2531-42FA-BAAC-5928F937B8A7 wds:Q99631136-5CF13E43-1E49-4965-AD91-4F8E4A42EFE8 wds:Q99631136-5F8CD9DB-4EB3-4404-99E4-F7FC0BADEB0E wds:Q99631136-626329DB-78A6-4B63-85B9-D89B8717343B wds:Q99631136-65421550-01DD-4822-AF44-79538DBE32FD wds:Q99631136-9605C68F-DBC6-4163-8543-7BDB726B55C8 wds:Q99631136-A1ADD619-AAA0-46F2-913E-522F379C3107 wds:Q99631136-A5BE6AE5-3401-45AE-AA7E-F2243D689B02 wds:Q99631136-A773DD30-4E7A-497D-B1EA-C75A34D60922 wds:Q99631136-B0436082-7EB0-49B0-A707-6ED76CC5ABB8 wds:Q99631136-B239C1DA-474D-47D7-B040-87CC97D8AC1B wds:Q99631136-BD3594C4-2EE7-4877-B42F-697EB7737951 wds:Q99631136-C406DAF2-65C7-4D7C-AC5C-8742CFA2D32B wds:Q99631136-CC49857C-1E52-4377-BD9A-E6569AD8D952 wds:Q99631136-CDBF07B2-2771-4394-AF53-6F1729716EFD wds:Q99631136-D1999226-640C-4A1D-A879-E81FC8F0CE27 wds:Q99631136-D1CFE8D1-1525-46F0-BAEE-951DB0882E5A wds:Q99631136-D4CE6275-8ED5-404B-AFAA-AA5E7E3F1937 wds:Q99631136-E4F14921-6D22-4A56-8AF5-92E98BE41495 wds:Q99631136-E91F1CA2-BBF0-4158-A709-461CD4A0D744 wds:Q99631136-EE6CD6FA-0C30-40AD-99C5-D427B77E8B7A wds:Q99631136-F511E988-201C-4A81-9DAE-F9BB55274B0F wds:Q99631136-F7FE3958-E60B-4586-B849-925158A73A33 wds:Q99631136-FE202674-CCEA-4B5D-B124-588F3405D935
cites work	Standardizing laboratory data by mapping to LOINC. The Unified Medical Language System (UMLS): integrating biomedical terminology Launching PCORnet, a national patient-centered clinical research network SHRINE: enabling nationally scalable multi-site disease studies The Shared Health Research Information Network (SHRINE): a prototype federated query tool for clinical data repositories Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2). A translational engine at the national scale: informatics for integrating biology and the bedside Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS): architecture An interactive web-based dashboard to track COVID-19 in real time Recent Developments in Clinical Terminologies - SNOMED CT, LOINC, and RxNorm Rhabdomyolysis as Potential Late Complication Associated with COVID-19 Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal Preliminary Estimates of the Prevalence of Selected Underlying Health Conditions Among Patients with Coronavirus Disease 2019 — United States, February 12–March 28, 2020 Identification of a potential mechanism of acute kidney injury during the COVID-19 outbreak: a study based on single-cell transcriptome analysis Laboratory abnormalities in patients with COVID-2019 infection Why the immune system fails to mount an adaptive immune response to a Covid -19 infection Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19 in Italy Accrual to Clinical Trials (ACT): A Clinical and Translational Science Award Consortium Network Association of Coronavirus Disease 2019 (COVID-19) With Myocardial Injury and Mortality The Genomics Research and Innovation Network: creating an interoperable, federated, genomics learning system Liver injury in COVID-19: management and challenges Procalcitonin in patients with severe coronavirus disease 2019 (COVID-19): A meta-analysis The versatile heparin in COVID-19 Impact of selective mapping strategies on automated laboratory result notification to public health authorities. The COVID-19 Global Rheumatology Alliance: collecting data in a pandemic Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API. German Medical Informatics Initiative. Learning From the Crowd in Terminology Mapping: The LOINC Experience. Early Vision for the CTSA Program Trial Innovation Network: A Perspective from the National Center for Advancing Translational Sciences Evaluating congruence between laboratory LOINC value sets for quality measures, public health reporting, and mapping common tests
author name string	wds:Q99631136-1770013B-DD33-4DB0-ADEC-4CE77525F765 wds:Q99631136-25826702-8E37-472F-8338-0111EBA2B9BD wds:Q99631136-2B1874AB-0AFD-4623-BB8C-DD325B134492 wds:Q99631136-4DE99392-0F42-4250-BEA3-7551BC1D71B2 wds:Q99631136-6E9872DB-B4FF-47B6-A2DE-AFE555DA06A8 wds:Q99631136-72074A02-70C0-4F65-A154-787B9725BCCC wds:Q99631136-830A692B-4803-4FD7-987D-2126FEE6B15A wds:Q99631136-835572E9-459B-4D27-8F47-FD4200546C2C wds:Q99631136-8A64674D-CC3B-4CB0-B0AF-DD6F421D5F9B wds:Q99631136-8DC311C0-A74A-4550-80BB-C611E61F3AD0 wds:Q99631136-97A7C6DA-1597-4A34-B4D1-8AC038587E49 wds:Q99631136-BF51844E-E60F-4CA3-BBC5-D6DA7964A4AF wds:Q99631136-C16B232F-7CEA-43FF-A83A-AC5244423F15 wds:Q99631136-D479C4C1-8185-4AD0-849E-21A4BBDD057F wds:Q99631136-D4EFD069-2E50-4418-B09F-186399647E63 wds:Q99631136-ECF838A9-3504-4BD6-A552-73A3C5528E08
author name string	Jason H Moore Thomas Moreau Nils Gehlenborg Christel Daniel Nicolas Paris Nina Orlova Guillaume Lemaitre Sylvie Cormont Detlef Kraska Arthur Mensch Vincent Benoit Mark S Keller Romain Bey Hans U Prokosch John J Holmes

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