Guidelines for the standardized collection of predictor variables in studies for pediatric sepsis (guidelines)~Pediatric Sepsis Predictors Standardization (PS2) Working Group

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Description:
These guidelines aim to maximize the efficiency of data-sharing collaborations in pediatric sepsis research by facilitating the standardization of data collection in predictors captured in future studies.

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Auteur(s) :
Li, Edmond

Li, Edmond

Center for International Child Health
, Mawji, Alishah

Mawji, Alishah

Center for International Child Health
, Akech, Samuel

Akech, Samuel

Kilifi Clinical Trials Facility, Kenya
, Chandna, Arjun

Chandna, Arjun

London School of Hygiene and Tropical Medicine
, Kissoon, Niranjan

Kissoon, Niranjan

Center for International Child Health
, Kortz, Teresa

Kortz, Teresa

University of California
, Lubell, Yoel

Lubell, Yoel

Nuffield Department of Medicine
, Turner, Paul

Turner, Paul

Angkor Hospital for Children
, Wiens, Matthew

Wiens, Matthew

Center for International Child Health
et Ansermino, Mark

Ansermino, Mark

Center for International Child Health
Contributor(s):
Lubell, Yoel, Chandna, Arjun, Mawji, Alishah, Akech, Samuel, Wiens, Matthew, Kortz, Teresa, Turner, Paul, Kissoon, Niranjan, Li, Edmond et Ansermino, Mark
Dépôt source:
UBC Dataverse
Series:
Pediatric Sepsis Data CoLab // Pediatric Sepsis Predictors Standardization (PS2) Working Group
Éditeur(s):
Borealis
Accès:
Public
License:
CC BY-NC-SA 4.0
URL:
https://doi.org/10.5683/SP2/02LVVT
Date de publication:
2020-02-12
Sujets (en):
Medicine, Health and Life Sciences
Mots-clés (en):
Algorithms, Infant, Sepsis, Pediatrics, Child, Infection, Data science, Data management, Data warehousing, Medical informatics, Data curation, Big data, Common data elements, Data aggregation, et LCSH
Identificateur:
https://doi.org/10.5683/SP2/02LVVT

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Référence bibliographique

Citation selon les normes APA:
Guidelines for the standardized collection of predictor variables in studies for pediatric sepsis (guidelines)~Pediatric Sepsis Predictors Standardization (PS2) Working Group. (2020). [Data set]. UBC Dataverse. https://doi.org/10.5683/SP2/02LVVT
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