LUCAS: A highly accurate yet simple risk calculator that predicts survival of COVID-19 patients using rapid routine tests
<p><strong>Background</strong> There is an urgent need to develop a simplified risk tool that enables rapid triaging of SARS CoV-2 positive patients during hospital admission, which complements current practice. Many predictive tools developed to date are complex, rely on multiple...
Main Authors: | Ray, S, Swift, A, Fanstone, JW, Banerjee, A, Mamalakis, M, Vorselaars, B, Mackenzie, LS, Weeks, S |
---|---|
Format: | Internet publication |
Language: | English |
Published: |
2021
|
Similar Items
-
LUCAS: development and validation of a simple mortality risk calculator that predicts 60-day survival of adult SARS-CoV-2 positive patients at hospital admission using rapid routine tests
by: Ray, S, et al.
Published: (2021) -
A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest X-rays
by: Ray, S, et al.
Published: (2022) -
Development of a mortality prediction model in hospitalised SARS-CoV-2 positive patients based on routine kidney biomarkers
by: Boss, AN, et al.
Published: (2022) -
DenResCov-19: a deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays
by: Mamalakis, M, et al.
Published: (2021) -
Use of machine learning and artificial intelligence to predict SARS-CoV-2 infection from full blood counts in a population
by: Banerjee, A, et al.
Published: (2020)