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 ...

This is a preview. Log in through your library . Abstract Survey experimenters routinely test for systematically varying treatment effects by using interaction terms between the treatment indicator ...

The Bayesian Additive Regression Trees (BART) model appears to accurately predict the progression and severity of generalised anxiety disorder (GAD) based on pre-treatment information, potentially ...

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 ...