Scientific Research Publishing

Kapelner, A. and Bleich, J. (2016) bartMachine: Machine Learning with Bayesian Additive Regression Trees. Journal of Statistical Software, 70, 1-40.

ABSTRACT: This study investigates the persistent academic impacts of the Head Start program, a federal government-funded early childhood intervention, using data from the Early Childhood Longitudinal ...
Scientific Research Publishing

Chipman, H.A., George, E.I. and McCulloch, R.E. (2010) BART: Bayesian Additive Regression Trees. The Annals of Applied Statistics, 4, 266-298.

ABSTRACT: This study investigates the persistent academic impacts of the Head Start program, a federal government-funded early childhood intervention, using data from the Early Childhood Longitudinal ...
Frontiers

A machine learning-based predictive model for the occurrence of lower extremity deep vein thrombosis after laparoscopic surgery in abdominal surgery

Department of Hepatobiliary Surgery, Wenzhou Central Hospital, Dingli Clinical Institute of Wenzhou Medical University, Wenzhou, Zhejiang, China Background & aims: Deep vein thrombosis, a common ...
Frontiers

Host and bacterial urine proteomics might predict treatment outcomes for immunotherapy in advanced non-small cell lung cancer patients

Introduction: Urine samples are non-invasive approaches to study potential circulating biomarkers from the host organism. Specific proteins cross the bloodstream through the intestinal barrier and may ...
GitHub

missing-data-imputation

Source code for the paper "Nonparametric Bayesian Additive Regression Trees for Predicting and Handling Missing Covariates and Outcomes in Longitudinal Data" ...
Visual Studio Magazine

Decision Tree Regression from Scratch Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of decision tree regression using the C# language. Unlike most implementations, this one does not use recursion ...
ahajournals.org

Detection of Left Ventricular Hypertrophy Using Bayesian Additive Regression Trees: The MESA (Multi‐Ethnic Study of Atherosclerosis)

We developed a new left ventricular hypertrophy (LVH) criterion using a machine‐learning technique called Bayesian Additive Regression Trees (BART). The ECG often serves as an initial screening tool ...