Mapping EORTC-QLQ-C30 onto EQ-5D-5L Index in Indonesian Cancer Patients.

Dyah Aryani PerwitasariFredrick Dermawan Purba Susan Fitria CandradewiMarwin MarwinAgung PermataMuhammad Barik Ulfa FazaBayu Priyo SeptiantoroAdrian A Kaptein

Published in: Asian Pacific journal of cancer prevention : APJCP (2023)

The development of the mapping algorithm from the EORTC QLQ-C30 to EQ-5D-5L instrument shows a predictive value of utility in a sample of patients with cancer at Dr. Kariadi Hospital, Semarang, Indonesia. The utility prediction in both model is similar, however model 2 involves fewer domains and symptoms.<br />.

Keyphrases

high resolution
healthcare
machine learning
high density
emergency department
patient reported outcomes
depressive symptoms
neural network
editorial comment
electronic health record