Mapping the Chinese Version of the EORTC QLQ-BR53 Onto the EQ-5D-5L and SF-6D Utility Scores.

Tong LiuShunPing LiMin WangQiang SunGang Chen

Published in: The patient (2021)

The algorithms reported in this paper enable EORTC QLQ-BR53 breast cancer data to be mapped into utilities predicted from the EQ-5D-5L and SF-6D. The algorithms allow for the calculation of quality-adjusted life years for use in breast cancer cost-effectiveness analyses studies.

Keyphrases

machine learning
deep learning
big data
high resolution
electronic health record
artificial intelligence
case control
psychometric properties
breast cancer risk
young adults
quality improvement
data analysis
childhood cancer