Predictive analytics in health care: how can we know it works?

Ben Van Calster; Laure Wynants; Dirk Timmerman; Ewout W. Steyerberg; Gary S. Collins

doi:10.1093/jamia/ocz130

Predictive analytics in health care: how can we know it works?

Ben Van Calster^*, Laure Wynants, Dirk Timmerman, Ewout W. Steyerberg, Gary S. Collins

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	1651-1654
Number of pages	4
Journal	Journal of the American Medical Informatics Association
Volume	26
Issue number	12
DOIs	https://doi.org/10.1093/jamia/ocz130
Publication status	Published - Dec 2019

Keywords

artificial intelligence
external validation
machine learning
model performance
predictive analytics
ARTIFICIAL-INTELLIGENCE
RISK PREDICTION
CANCER
MODELS

Access to Document

10.1093/jamia/ocz130

Cite this

Van Calster, B., Wynants, L., Timmerman, D., Steyerberg, E. W., & Collins, G. S. (2019). Predictive analytics in health care: how can we know it works? Journal of the American Medical Informatics Association, 26(12), 1651-1654. https://doi.org/10.1093/jamia/ocz130

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author = "{Van Calster}, Ben and Laure Wynants and Dirk Timmerman and Steyerberg, {Ewout W.} and Collins, {Gary S.}",

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AU - Steyerberg, Ewout W.

AU - Collins, Gary S.

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JF - Journal of the American Medical Informatics Association

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