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

@article{b1cfbfc0e72042c18884836f6e1dcdbb,

title = "Predictive analytics in health care: how can we know it works?",

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

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

year = "2019",

month = dec,

doi = "10.1093/jamia/ocz130",

language = "English",

volume = "26",

pages = "1651--1654",

journal = "Journal of the American Medical Informatics Association",

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publisher = "Oxford University Press",

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T2 - how can we know it works?

AU - Van Calster, Ben

AU - Wynants, Laure

AU - Timmerman, Dirk

AU - Steyerberg, Ewout W.

AU - Collins, Gary S.

PY - 2019/12

Y1 - 2019/12

KW - artificial intelligence

KW - external validation

KW - machine learning

KW - model performance

KW - predictive analytics

KW - ARTIFICIAL-INTELLIGENCE

KW - RISK PREDICTION

KW - CANCER

KW - MODELS

U2 - 10.1093/jamia/ocz130

DO - 10.1093/jamia/ocz130

M3 - Article

C2 - 31373357

VL - 26

SP - 1651

EP - 1654

JO - Journal of the American Medical Informatics Association

JF - Journal of the American Medical Informatics Association

SN - 1067-5027

IS - 12

ER -