Supervised Bayesian statistical learning to identify prognostic risk factor patterns from population data
(2020)
Book Chapter
Crooks, C. J. (2020). Supervised Bayesian statistical learning to identify prognostic risk factor patterns from population data. In L. B. Pape-Haugaard, C. Lovis, I. Cort Madsen, P. Weber, P. Hostrup Nielsen, & P. Scott (Eds.), Digital personalized health and medicine: Proceedings of MIE 2020 (422-426). IOS Press. https://doi.org/10.3233/SHTI200195
Current methods for building risk models assume averaged uniform effects across populations. They use weighted sums of individual risk factors from regression models with only a few interactions, such as age. This does not allow risk factor effects t... Read More about Supervised Bayesian statistical learning to identify prognostic risk factor patterns from population data.