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Journal article

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.
Recent Findings Patient representation or phenotyping and discovery is one of the main branches of health data analysis. Phenotyping concerns identifying features that are re... Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

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

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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Author
ORCID:
0000-0002-2845-5731
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
Source identifiers:
1046112
Language:
English
Keywords:
Pubs id:
pubs:1046112
UUID:
uuid:11841c7f-71ff-486f-af35-e996050a6c03
Local pid:
pubs:1046112
Deposit date:
2019-08-19

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