Optimizing risk-based breast cancer screening policies with reinforcement learning
Screening programs must balance the benefit of early detection with the cost of overscreening. Here, we introduce a novel reinforcement learning-based framework for personalized screening, Tempo, and demonstrate its efficacy in the context of breast cancer. We trained our risk-based screening polici...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Science and Business Media LLC,
2022-05-25T18:40:35Z.
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| Subjects: | |
| Online Access: | Get fulltext |