Journal article
Machine learning for feature selection and cluster analysis in drug utilisation research
- Abstract:
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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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(Version of record, pdf, 1.3MB)
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- Publisher copy:
- 10.1007/s40471-019-00211-7
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Authors
Bibliographic Details
- 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:
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2196-2995
- Source identifiers:
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1046112
Item Description
- Language:
- English
- Keywords:
- Pubs id:
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pubs:1046112
- UUID:
-
uuid:11841c7f-71ff-486f-af35-e996050a6c03
- Local pid:
- pubs:1046112
- Deposit date:
- 2019-08-19
Terms of use
- Copyright holder:
- Khalid and Prieto-Alhambra
- Copyright date:
- 2019
- Notes:
- © The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License
- Licence:
- CC Attribution (CC BY)
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