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Optimizing risk-based breast cancer screening policies with reinforcement learning

2021-06-22

Abstract excerpt

<title>Abstract</title> <p>Screening programs must balance the benefits of early detection against the costs of over screening. Achieving this goal relies on two complementary technologies: (1) the ability to assess patient risk, (2) the ability to develop personalized screening programs given that risk. While methodologies for assessing patient risk have significantly improved with new advances in deep learning...

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Literature Corpus work
e51cb99a-e70c-5652-a873-ff588fd6adf1
DOI
10.21203/rs.3.rs-104592/v1
Open publication

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Optimizing risk-based breast cancer screening policies with reinforcement learningDOI 10.21203/rs.3.rs-104592/v1
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