Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark. (arXiv:2109.12769v2 [cs.LG] UPDATED)

Web: http://arxiv.org/abs/2109.12769

Developing new drugs for target diseases is a time-consuming and expensive
task, drug repurposing has become a popular topic in the drug development
field. As much health claim data become available, many studies have been
conducted on the data. The real-world data is noisy, sparse, and has many
confounding factors. In addition, many studies have shown that drugs effects
are heterogeneous among the population. Lots of advanced machine learning
models about estimating heterogeneous treatment effects (HTE) have emerged in
recent …

application arxiv healthcare learning machine machine learning tutorial