Design of an algorithm for the detection of intravenous fluid contamination in clinical laboratory samples.

Cristian Rios CampilloMaria Sanz de PedroJose Manuel IturzaetaAna Laila QasemMaria Jose AlcaideBelen Fernandez-PunteroRubén Gómez Rioja

Published in: Clinical chemistry and laboratory medicine (2023)

Our algorithm based on the global dilutional effect presents a similar sensitivity but greater specificity than the systems based on alarming results. The implementation of this algorithm in the laboratory information systems may facilitate the automated detection of contaminated samples.

Keyphrases

machine learning
deep learning
loop mediated isothermal amplification
drinking water
real time pcr
label free
primary care
healthcare
risk assessment
neural network
high throughput
climate change
quality improvement
single cell
social media
human health