Three myths about risk thresholds for prediction models

Three myths about risk thresholds for prediction models

Abstract Background Clinical prediction models are useful in estimating a patient’s risk of having a certain disease or experiencing an event in the future based on their current characteristics. Defining an appropriate risk threshold to recommend intervention is a key challenge in bringing a risk p...

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Bibliographic Details
Main Authors: Laure Wynants, Maarten van Smeden, David J. McLernon, Dirk Timmerman, Ewout W. Steyerberg, Ben Van Calster, on behalf of the Topic Group ‘Evaluating diagnostic tests and prediction models’ of the STRATOS initiative
Format: Article
Language:English
Published: BMC 2019-10-01
Series:BMC Medicine
Subjects:
Clinical risk prediction model
Threshold
Decision support techniques
Risk
Data science
Diagnosis
Online Access:http://link.springer.com/article/10.1186/s12916-019-1425-3

Internet

http://link.springer.com/article/10.1186/s12916-019-1425-3

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