Bayesian additive modelling has emerged as a powerful framework for analysing datasets characterised by large numbers of predictors and complex response patterns. At its core, the methodology employs ...

What Oncologists Want: Identifying Challenges and Preferences on Diagnosis Data Entry to Reduce EHR-Induced Burden and Improve Clinical Data Quality We trained a Bayesian ML model in 10,318 patients ...