A new prognostic model for predicting 30-day mortality in acute oncology patients.

Tess O'NeillMohammed T HuddaReena PatelWing Kin LiuAnna-Mary YoungHitendra Rh PatelMehran Afshar

Published in: Expert review of anticancer therapy (2021)

The developed prediction model was able to classify patients into distinct prognostic risk groups, which is clinically useful for delivering an evidence-based AOS. Collation of data from other AOS centers would allow for the development of a more generalizable prognostic model.

Keyphrases

end stage renal disease
chronic kidney disease
newly diagnosed
ejection fraction
prognostic factors
type diabetes
cardiovascular disease
patient reported outcomes
machine learning
risk factors
hepatitis b virus