About: Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test

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scholarly article by Tim Peto published in 2020

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття (uk) article scientifique publié en 2020 (fr) scholarly article by Tim Peto published in 2020 (en)
publication date	wds:Q104166324-F650413D-242B-4228-BFD3-005CBE54D8AB
publication date	2020-12-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q104166324-088D9B68-8874-4EC2-A097-EA1D050A4301 wds:Q104166324-0C571C5C-E680-44B9-BB68-DF898A6868BE wds:Q104166324-11B8E8EA-DBA3-4A93-96BC-7E1D7A9101A3 wds:Q104166324-1B57012D-CDBB-4B14-A67C-FC24964F7AC9 wds:Q104166324-30AFBE5D-6F26-4915-8C27-FE66A8D0BA38 wds:Q104166324-3191F88A-FAE5-446E-9CA5-11E94E1822EB wds:Q104166324-3FFC9C86-F0A8-470A-9610-65B87FB92FEE wds:Q104166324-4809FA43-8CD4-4EB9-84C9-3944AA5CF910 wds:Q104166324-4B0B437A-71CA-445D-905C-778BFFD97D35 wds:Q104166324-62C03DBE-E1C9-4289-983F-73289B0D04D7 wds:Q104166324-6BA3BD0D-0632-4000-9770-353F61037A69 wds:Q104166324-93462131-B45E-44E0-B77F-A6ECE93F005F wds:Q104166324-9854ACAD-2441-4490-941D-042F295BDA39 wds:Q104166324-9AA6DE8A-3282-4B14-B908-8B64F0E38AD2 wds:Q104166324-BFB3F512-89F9-4CA5-93D0-0B1EB13575AF wds:Q104166324-CAF2D7F4-1BA5-4976-8182-11727B716D12 wds:Q104166324-D568735F-F094-47A0-9E01-B5C4BF2121F0 wds:Q104166324-F7E04AC7-047B-432F-BF33-C3B78211370F
cites work	Evaluation of D-Dimer in the Diagnosis of Suspected Deep-Vein Thrombosis Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement. Routine blood tests are associated with short term mortality and can improve emergency department triage: a cohort study of >12,000 patients. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China Diagnosing COVID-19: The Disease and Tools for Detection Epidemiological and Clinical Predictors of COVID-19 Clinical Characteristics of Coronavirus Disease 2019 in China Artificial intelligence-enabled rapid diagnosis of patients with COVID-19 Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT? The Laboratory Diagnosis of COVID-19 Infection: Current Issues and Challenges Three Quarters of People with SARS-CoV-2 Infection are Asymptomatic: Analysis of English Household Survey Data Real-time tracking of self-reported symptoms to predict potential COVID-19 The role of biomarkers in diagnosis of COVID-19 - A systematic review A Fully Automatic Deep Learning System for COVID-19 Diagnostic and Prognostic Analysis Occurrence and Timing of Subsequent SARS-CoV-2 RT-PCR Positivity Among Initially Negative Patients Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study Hospitalization Rates and Characteristics of Children Aged <18 Years Hospitalized with Laboratory-Confirmed COVID-19 - COVID-NET, 14 States, March 1-July 25, 2020 Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID-19) during the early outbreak period: a scoping review
author name string	wds:Q104166324-1759FCFA-5012-4F94-AC1F-79A6F9BF0288 wds:Q104166324-464961F8-037E-48B2-8F70-A99F4EF9EBB5 wds:Q104166324-7D342A3E-4141-4540-8C76-1787495715D1 wds:Q104166324-97C341CA-8E7B-4074-A2D3-508036666054 wds:Q104166324-A2DE7EBA-D72A-4A47-9FC9-6E44B58D0021 wds:Q104166324-BD50D40D-92C2-4F16-8402-32F7EC6E0677 wds:Q104166324-DD6E392E-5641-4EA9-845E-61C458B588BF wds:Q104166324-E74CC91B-6C39-444D-9C3D-1C7CA74E13B5 wds:Q104166324-E7B530B7-92D3-41C9-8D94-8A99623170EC
author name string	Tingting Zhu Thomas Taylor Andrew J Brent David A Clifton David W Eyre Zaamin B Hussain Andrew A S Soltan Dani Kiyasseh Samaneh Kouchaki
rdfs:label	Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test (dv) Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test (en) Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test (nl)
skos:prefLabel	Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test (dv) Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test (en) Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test (nl)
name	Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test (dv) Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test (en) Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test (nl)
author	wds:Q104166324-64FBD2F7-9D41-4E22-AA4B-8A3E5E6767CE
author	Tim Peto
title	wds:Q104166324-7DDD9672-7015-4658-9F43-5EC9B2152EA9
title	Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test (en)
instance of	wds:Q104166324-5EA734F9-B23F-4BD1-8208-9EABBAA8E196
instance of	scholarly article
main subject	wds:Q104166324-00414C9E-0FBB-4D9D-AFDA-C5CAB88A73BE wds:Q104166324-680C768D-E8D0-4117-9A18-49014C865422 wds:Q104166324-FB31FBD8-7FB1-4BA0-AFC8-3C293F2F9728
main subject	artificial intelligence COVID-19 mortality COVID-19-related data
PubMed ID	wds:Q104166324-A2546133-5A6E-40CB-BC63-E78E5A00DE4C
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/33509388
PubMed ID	33509388
published in	wds:Q104166324-E75A20F6-165F-4E06-8919-36A886248A43
published in	Digital Health
DOI	wds:Q104166324-015A1F36-B731-4BA0-AD09-337377E8247A
DOI	http://dx.doi.org/10.1016/S2589-7500(20)30274-0
DOI	10.1016/S2589-7500(20)30274-0
PMCID	wds:Q104166324-F32EB67F-56A9-4B76-8151-3947BA9E64E8
PMCID	7831998
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q104166324

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