Survival prediction in advanced cancer patients - a narrative review.

Published in: Current opinion in supportive and palliative care (2023)

Significant effort has been made to improve the accuracy of survival estimation for advanced cancer patients. The main goals are to optimize individualized patient management and uses of resources. Advanced techniques, including genetic markers and machine learning techniques, may improve the accuracy of prediction.

Keyphrases

advanced cancer
palliative care
end stage renal disease
machine learning
chronic kidney disease
ejection fraction
newly diagnosed
deep learning
patient reported outcomes
public health
genome wide
dna methylation
artificial intelligence
copy number
big data