Bayesian Additive Regression Trees (BART) is a nonparametric ensemble method that models complex relationships by summing a collection of decision trees, each operating as a weak learner. The Bayesian ...

This is a preview. Log in through your library . Abstract Bayesian Additive Regression Trees (BART) is a flexible machine learning algorithm capable of capturing nonlinearities between an outcome and ...

The Annals of Applied Statistics, Vol. 15, No. 3 (September 2021), pp. 1194-1219 (26 pages) We introduce Targeted Smooth Bayesian Causal Forests (tsBCF), a non-parametric Bayesian approach for ...

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 ...

Patients scheduled for outpatient infusion sometimes may be deferred for treatment after arriving for their appointment. This can be the result of a secondary illness, not meeting required bloodwork ...