Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes

Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes

© 2020 Owner/Author. In several medical decision-making problems, such as antibiotic prescription, laboratory testing can provide precise indications for how a patient will respond to different treatment options. This enables us to "fully observe" all potential treatment outcomes, but whil...

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Bibliographic Details
Main Authors: Boominathan, Soorajnath, Oberst, Michael, Zhou, Helen, Kanjilal, Sanjat, Sontag, David
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: ACM 2021
Online Access:https://hdl.handle.net/1721.1/137708

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https://hdl.handle.net/1721.1/137708

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