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Machine learning for feature selection and cluster analysis in drug utilisation research

Abstract:

Purpose of Review Machine learning methods are increasingly used in health data mining. We describe current unsupervised learning methods for phenotyping and discovery and illustrate their application for detecting features and sub-groups related to drug use within a population.
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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's Version

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Publisher copy:
10.1007/s40471-019-00211-7

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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDORMS
Subgroup:
Botnar Research Centre
ORCID:
0000-0002-2845-5731
Prieto-Alhambra, D More by this author
Publisher:
Springer Nature Publisher's website
Journal:
Current Epidemiology Reports Journal website
Volume:
6
Issue:
3
Pages:
364-372
Publication date:
2019-07-27
Acceptance date:
2019-07-15
DOI:
EISSN:
2196-2995
Pubs id:
pubs:1046112
URN:
uri:11841c7f-71ff-486f-af35-e996050a6c03
UUID:
uuid:11841c7f-71ff-486f-af35-e996050a6c03
Local pid:
pubs:1046112

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