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Learning multimorbidity patterns from electronic health records using Non-negative Matrix Factorisation

Abstract:

Multimorbidity, or the presence of several medical conditions in the same individual, has been increasing in the population — both in absolute and relative terms. Nevertheless, multimorbidity remains poorly understood, and the evidence from existing research to describe its burden, determinants and consequences has been limited. Previous studies attempting to understand multimorbidity patterns are often cross-sectional and do not explicitly account for multimorbidity patterns’ evolution over ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.jbi.2020.103606

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Women's & Reproductive Health
Role:
Author
ORCID:
0000-0002-3270-1165
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Women's & Reproductive Health
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Women's & Reproductive Health
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Women's & Reproductive Health
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Women's & Reproductive Health
Role:
Author
Publisher:
Elsevier Publisher's website
Journal:
Journal of Biomedical Informatics Journal website
Volume:
112
Article number:
103606
Publication date:
2020-10-27
Acceptance date:
2020-10-16
DOI:
ISSN:
1532-0464
Language:
English
Keywords:
Pubs id:
1035735
Local pid:
pubs:1035735
Deposit date:
2020-11-03

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