Supervised machine learning to support the diagnosis of bacterial infection in the context of COVID-19.

Timothy Miles RawsonBernard HernandezRichard C WilsonDamien MingPau HerreroNisha RanganathanKeira SkolimowskaMark GilchristGiovanni SattaPantelis GeorgiouAlison H Holmes

Published in: JAC-antimicrobial resistance (2021)

An SVM using 21 routine blood test variables had excellent performance at inferring the likelihood of positive microbiology. Further prospective evaluation of the algorithms ability to support decision making for the diagnosis of bacterial infection in COVID-19 cohorts is underway.

Keyphrases

machine learning
coronavirus disease
sars cov
decision making
artificial intelligence
big data
deep learning
clinical practice