Mapping of the EORTC QLQ-C30 to EQ-5D-5L index in patients with lymphomas.

Richard Huan XuEliza Lai Yi WongJun JinYing DouDong Dong

Published in: The European journal of health economics : HEPAC : health economics in prevention and care (2020)

The mapping algorithms enable the EQ-5D-5L index scores to be predicted by QLQ-C30 subscale/item scores with good precision in patients living with lymphomas.

Keyphrases

end stage renal disease
high resolution
newly diagnosed
machine learning
chronic kidney disease
prognostic factors
high density
patient reported outcomes