Mapping PedsQLTM scores onto CHU9D utility scores: estimation, validation and a comparison of alternative instrument versions.

Rohan SweeneyGang ChenLisa GoldFiona MensahMelissa Wake

Published in: Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation (2019)

The identified mapping algorithms can be used to facilitate cost-utility analysis in comparable populations when only the PedsQL instrument is available. Results from this population indicate the algorithms identified in this paper are well suited for estimating CHU9D self-report utilities when the full 23-item self-report PedsQL instrument has been used.

Keyphrases

machine learning
high resolution
patient reported outcomes
deep learning
high density
data analysis