Identifying unreliable predictions in clinical risk models

Identifying unreliable predictions in clinical risk models

© 2020, The Author(s). The ability to identify patients who are likely to have an adverse outcome is an essential component of good clinical care. Therefore, predictive risk stratification models play an important role in clinical decision making. Determining whether a given predictive model is suit...

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Bibliographic Details
Main Authors: Myers, Paul D, Ng, Kenney, Severson, Kristen, Kartoun, Uri, Dai, Wangzhi, Huang, Wei, Anderson, Frederick A, Stultz, Collin M
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Springer Science and Business Media LLC 2021
Online Access:https://hdl.handle.net/1721.1/133649

Internet

https://hdl.handle.net/1721.1/133649

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