A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
Predicting outcomes of actions (treatments) to each target is a central task in decision support systems. For example, doctors decide whether to give a particular medication to individual patients aiming at better outcomes. In the outcome prediction problem, learning from biased observational data is a critical issue due to the lack of randomized controlled trial data in real situations. Recent efforts in causal inference and counterfactual machine learning attempt to estimate the impact ofdoi:10.11517/pjsai.jsai2020.0_1i5gs201 fatcat:uak6wsfkjfhqncrrvmbcea7d4q