Nature

A hybrid approach with metaheuristic optimization and random forest in improving heart disease prediction

Cardiovascular diseases (CVD) a major cause of morbidity and mortality among the world’s non-communicable disease incidences. Though these practices are in use for diagnostics of different CVDs in ...
Nature

Interpretable prediction of drug synergy for breast cancer by random forest with features from Boolean modeling of signaling pathways

Breast cancer is a complex and challenging disease to treat, and despite progress in combating it, drug resistance remains a significant hindrance. Drug combinations have shown promising results in ...
Visual Studio Magazine

Random Forest Regression Using C#

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...
Visual Studio Magazine

Random Forest Regression and Bagging Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...