Data-driven Interpretable Policy Construction for Personalized Mobile Health-Reference-Cited by-同舟云学术

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Data-driven Interpretable Policy Construction for Personalized Mobile Health

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Digital Health (ICDH)
language:
Short-container-title:

Author:

Bertsimas Dimitris¹,Klasnja Predrag²,Murphy Susan³,Na Liangyuan⁴

Affiliation:

1. Sloan School of Management, Massachusetts Institute of Technology Cambridge,USA

2. School of Information, University of Michigan,Ann Arbor,USA

3. Harvard University Cambridge,Department of Statistics,USA

4. Operations Research Center, Massachusetts Institute of Technology Cambridge,USA

Funder

National Institutes of Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9861038/9861040/09861077.pdf?arnumber=9861077

Reference40 articles.

1. Microrandomized trials: An experimental design for developing just-in-time adaptive interventions.

2. policytree: Policy learning via doubly robust empirical welfare maximization over trees

3. Treatment allocation under uncertain costs;sun;ArXiv Preprint,2021

4. Policy Learning With Observational Data

5. A Generalization of Sampling Without Replacement from a Finite Universe

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. High-Probability Sample Complexities for Policy Evaluation With Linear Function Approximation;IEEE Transactions on Information Theory;2024-08

2. Modified monotone policy iteration for interpretable policies in Markov decision processes and the impact of state ordering rules;Annals of Operations Research;2024-07-24

3. Optimizing Interpretable Treatment and Screening Policies in Healthcare;Encyclopedia of Optimization;2023

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