@article{Cushnan_D-2021_58015,
title = {An overview of the National COVID-19 Chest Imaging Database: data quality and cohort analysis},
author = {Cushnan, D. and Bennett, O. and Berka, R. and Bertolli, O. and Chopra, A. and Dorgham, S. and Favaro, A. and Ganepola, T. and Halling-Brown, M. and Imreh, G. and Jacob, J. and Jefferson, E. and Lemarchand, F. and Schofield, D. and Wyatt, J. and NCCID Collaborative},
month = {nov},
year = {2021},
abstract = {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.},
volume = {10},
issue = {11},
journal = {GigaScience},
publisher = {Oxford University Press},
url = {https://doi.org/10.1093/gigascience/giab076},
}
