Deep Learning for Cardiovascular Risk Stratification

Deep Learning for Cardiovascular Risk Stratification

Purpose of review Although deep learning represents an exciting platform for the development of risk stratification models, it is challenging to evaluate these models beyond simple statistical measures of success, which do not always provide insight into a model's clinical utility. Here we prop...

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Bibliographic Details
Main Authors: Schlesinger, Daphne E. (Author), Stultz, Collin M (Author)
Other Authors: Massachusetts Institute of Technology. Institute for Medical Engineering & Science (Contributor), Massachusetts Institute of Technology. Research Laboratory of Electronics (Contributor), Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Springer Science and Business Media LLC, 2021-09-20T17:29:52Z.
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