TY - JOUR
AU - Cushnan, Dominic
AU - Bennett, Oscar
AU - Berka, Rosalind
AU - Bertolli, Ottavia
AU - Chopra, Ashwin
AU - Dorgham, Samie
AU - Favaro, Alberto
AU - Ganepola, Tara
AU - Halling-Brown, Mark
AU - Imreh, Gergely
AU - Jacob, Joseph
AU - Jefferson, Emily
AU - Lemarchand, François
AU - Schofield, Daniel
AU - Wyatt, Jeremy C.
AU - NCCID Collaborative
PY - 2021
DA - November
TI - An overview of the National COVID-19 Chest Imaging Database: data quality and cohort analysis
JO - GigaScience
VL - 10
IS - 11
DO - https://doi.org/10.1093/gigascience/giab076
AB - Background: The National COVID-19 Chest Imaging Database (NCCID) is a centralized database containing mainly chest X-rays and computed tomography scans from patients across the UK. The objective of the initiative is to support a better understanding of the coronavirus SARS-CoV-2 disease (COVID-19) and the development of machine learning technologies that will improve care for patients hospitalized with a severe COVID-19 infection. This article introduces the training dataset, including a snapshot analysis covering the completeness of clinical data, and availability of image data for the various use-cases (diagnosis, prognosis, longitudinal risk). An additional cohort analysis measures how well the NCCID represents the wider COVID-19-affected UK population in terms of geographic, demographic, and temporal coverage.
PB - Oxford University Press
UR - https://discovery.dundee.ac.uk/en/publications/8e39bc55-68e2-4df6-ace4-e599e5cc79f5
KW - Coronavirus (COVID-19)
KW - Digital health and technology
ER