Mapping the Minnesota Living with Heart Failure Questionnaire (MLHFQ) onto the Assessment of Quality of Life 8D (AQoL-8D) utility scores.

Max CatchpoolJay RamchandDavid L HareMelissa MartynIlias Goranitis

Published in: Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation (2020)

The mapping algorithm developed in this study allows the derivation of AQoL-8D utilities from MLHFQ scores for use in cost-effectiveness analyses and most importantly, enables the economic evaluation of alternative heart failure therapy options when only the MLHFQ has been collected.

Keyphrases

heart failure
high resolution
left ventricular
high density
machine learning
acute heart failure
cardiac resynchronization therapy
deep learning
atrial fibrillation
cross sectional
stem cells
neural network
patient reported
replacement therapy