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Journal article

Health informatics via machine learning for the clinical management of patients.

Abstract:

Objectives:

To review how health informatics systems based on machine learning methods have impacted the clinical management of patients, by affecting clinical practice.

Methods:

We reviewed literature from 2010-2015 from databases such as Pubmed, IEEE xplore, and INSPEC, in which methods based on machine learning are likely to be reported. We bring together a broad body of literature, aiming to identify those leading examples of health informatics that have adva...

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Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.15265/iy-2015-014

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Publisher:
Thieme Publishing Publisher's website
Journal:
Yearbook of Medical Informatics Journal website
Volume:
10
Issue:
1
Pages:
38-43
Publication date:
2015-08-13
DOI:
EISSN:
2364-0502
ISSN:
0943-4747
Language:
English
Keywords:
Pubs id:
pubs:542898
UUID:
uuid:686f4106-5f2a-4f91-870f-8c39cde4ddfa
Local pid:
pubs:542898
Source identifiers:
542898
Deposit date:
2016-03-08

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