Causal Inference in medicine and in health policy, a summary. (arXiv:2105.04655v4 [cs.LG] UPDATED)

A data science task can be deemed as making sense of the data or testing a
hypothesis about it. The conclusions inferred from data can greatly guide us to
make informative decisions. Big data has enabled us to carry out countless
prediction tasks in conjunction with machine learning, such as identifying high
risk patients suffering from a certain disease and taking preventable measures.
However, healthcare practitioners are not content with mere predictions - they
are also interested in the cause-effect …

arxiv causal inference health medicine policy summary