Surveying haemoperfusion impact on COVID-19 from machine learning using Shapley values.

Behzad EinollahiMohammad JavanbakhtMehrdad EbrahimiMohammad AhmadiMorteza IzadiSholeh GhasemiZahra EinollahiBentolhoda BeyramAbolfazl MiraniEhsan Kianfar

Published in: Inflammopharmacology (2024)

The findings indicated that haemoperfusion played a crucial role in predicting patient survival, making it a significant feature in classifying patients' prognoses.

Keyphrases

machine learning
end stage renal disease
ejection fraction
coronavirus disease
newly diagnosed
sars cov
chronic kidney disease
peritoneal dialysis
deep learning
prognostic factors
case report
artificial intelligence
patient reported outcomes
big data
free survival
respiratory syndrome coronavirus