Methodological Comparison of Mapping the Expanded Prostate Cancer Index Composite to EuroQoL-5D-3L Using Cross-Sectional and Longitudinal Data: Secondary Analysis of NRG/RTOG 0415.

Rahul KhairnarLyudmila DeMoraHoward M SandlerW Robert LeeEster Villalonga-Olives C Daniel Mullins Francis B Palumbo Deborah Watkins BrunerFadia T ShayaSoren M BentzenAmit B ShahShawn Malone Jeff M Michalski Ian S Dayes Samantha Andrews SeawardMichele AlbertAdam D CurreyThomas M PisanskyYuhchyau ChenEric M HorwitzAlbert S DeNittisFelix FengMark V Mishra

Published in: JCO clinical cancer informatics (2022)

Overall, mapping algorithms obtained using baseline cross-sectional data showed the best predictive performance. Furthermore, these models demonstrated satisfactory longitudinal predictive ability.

Keyphrases

cross sectional
prostate cancer
high resolution
electronic health record
machine learning
big data
high density
data analysis