Published in a recent research paper, this approach uses advanced machine learning methods, specifically causal tree techniques, to identify individuals who respond to treatments, helping to ...

It employs predictive machine learning, a class of self-adaptive algorithms that ... Therefore, it is imperative that decision makers also consider another AI approach—causal AI, which can help ...

One virtue of probabilistic models is that they straddle the gap between cognitive science, artificial intelligence, and machine learning. The same methodology is useful for both understanding the ...

"Most research in causal disentanglement assumes access ... The MIT researchers developed a more general approach that uses a ...

Because the dataset is cross-sectional, the results are correlational rather than causal. Future research using machine learning approaches such as Random Forest Analysis, and others, could look ...