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Journal article

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

Abstract:

There is increasing awareness that the methodology and findings of research should be transparent. This includes studies using artificial intelligence to develop predictive algorithms that make individualized diagnostic or prognostic risk predictions. We argue that it is paramount to make the algorithm behind any prediction publicly available. This allows independent external validation, assessment of performance heterogeneity across settings and over time, and algorithm refinement or updatin...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/jamia/ocz130

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Role:
Author
ORCID:
0000-0002-2772-2316
More from this funder
Name:
Research Foundation
Grant:
G0B4716N
More from this funder
Name:
Internal Funds KU Leuven
Grant:
C24/15/037
Publisher:
Oxford University Press
Journal:
Journal of the American Medical Informatics Association More from this journal
Volume:
26
Issue:
12
Pages:
1651–1654
Publication date:
2019-08-02
Acceptance date:
2019-07-04
DOI:
EISSN:
1527-974X
ISSN:
1067-5027
Pmid:
31373357
Language:
English
Keywords:
Pubs id:
pubs:1041681
UUID:
uuid:ce53eca0-76d7-4e61-8e49-ddede88c59a1
Local pid:
pubs:1041681
Source identifiers:
1041681
Deposit date:
2019-08-10

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