Recurrent Continuous Adversarial Balancing for Estimating Individual Treatment Effect Over Time
Abstract Estimating individual treatment effects (ITE) from observational data have become an important topic in various fields. In healthcare, determining the optimal time and amount of the treatment is crucial for improving each patient’s quality of life. However, existing methods mainly focused o...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2023-05-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44196-023-00228-3 |