[HTML][HTML] A clinical prediction model to identify children at risk for revisits with serious illness to the emergency department: a prospective multicentre observational …

RG Nijman, DH Borensztajn, JM Zachariasse… - PloS one, 2021 - journals.plos.org
Background To develop a clinical prediction model to identify children at risk for revisits with
serious illness to the emergency department. Methods and findings A secondary analysis of …

[PDF][PDF] A clinical prediction model to identify children at risk for revisits with serious illness to the emergency department: A prospective multicentre observational study

RG Nijman, DH Borensztajn, JM Zachariasse… - PLoS ONE, 2021 - pure.eur.nl
A clinical prediction model to identify children at risk for revisits with serious illness to the
emergency department: A prospe Page 1 RESEARCH ARTICLE A clinical prediction model to …

A clinical prediction model to identify children at risk for revisits with serious illness to the emergency department: A prospective multicentre observational study

RG Nijman, DH Borensztajn, JM Zachariasse… - PLOS …, 2021 - econpapers.repec.org
Background: To develop a clinical prediction model to identify children at risk for revisits with
serious illness to the emergency department. Methods and findings: A secondary analysis of …

A clinical prediction model to identify children at risk for revisits with serious illness to the emergency department: A prospective multicentre observational study.

RG Nijman, DH Borensztajn, JM Zachariasse… - PLoS ONE, 2021 - go.gale.com
A clinical prediction model to identify children at risk for revisits with serious illness to the
emergency department: A prospective multicentre observational study. - Document - Gale …

A clinical prediction model to identify children at risk for revisits with serious illness to the emergency department: A prospective multicentre observational study.

RG Nijman, DH Borensztajn, JM Zachariasse… - PLoS …, 2021 - search.ebscohost.com
Background: To develop a clinical prediction model to identify children at risk for revisits with
serious illness to the emergency department. Methods and findings: A secondary analysis of …

[引用][C] A clinical prediction model to identify children at risk for revisits with serious illness to the emergency department: A prospective multicentre observational study

RG Nijman, DH Borensztajn, JM Zachariasse… - PLoS …, 2021 - ui.adsabs.harvard.edu
A clinical prediction model to identify children at risk for revisits with serious illness to the
emergency department: A prospective multicentre observational study - NASA/ADS Now on …

A clinical prediction model to identify children at risk for revisits with serious illness to the emergency department: A prospective multicentre observational study.

RG Nijman, DH Borensztajn, JM Zachariasse… - Plos one, 2021 - europepmc.org
A clinical prediction model to identify children at risk for revisits with serious illness to the
emergency department: A prospective multicentre observational study. - Abstract - Europe …

A clinical prediction model to identify children at risk for revisits with serious illness to the emergency department: A prospective multicentre observational study

RG Nijman, DH Borensztajn, JM Zachariasse… - PloS …, 2021 - pubmed.ncbi.nlm.nih.gov
Background To develop a clinical prediction model to identify children at risk for revisits with
serious illness to the emergency department. Methods and findings A secondary analysis of …

A clinical prediction model to identify children at risk for revisits with serious illness to the emergency department: a prospective multicentre observational study

RG Nijman, DH Borensztajn… - PLoS …, 2021 - scholarlypublications …
Background To develop a clinical prediction model to identify children at risk for revisits with
serious illness to the emergency department. Methods and findings A secondary analysis of …

A clinical prediction model to identify children at risk for revisits with serious illness to the emergency department: A prospective multicentre observational study

RG Nijman, DH Borensztajn, JM Zachariasse… - PLOS ONE, 2021 - ideas.repec.org
Background: To develop a clinical prediction model to identify children at risk for revisits with
serious illness to the emergency department. Methods and findings: A secondary analysis of …