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Group-personalized regression models for predicting mental health scores from objective mobile phone data streams: observational study

Abstract:

Background: Objective behavioral markers of mental illness, often recorded through smartphones or wearable devices, have the potential to transform how mental health services are delivered and to help users monitor their own health. Linking objective markers to illness is commonly performed using population-level models, which assume that everyone is the same. The reality is that there are large levels of natural interindividual variability, both in terms of response to illness and in usua...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.2196/10194

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Wolfson College
Role:
Author
ORCID:
0000-0003-2766-3309
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Psychiatry
Role:
Author
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Psychiatry
Role:
Author
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More from this funder
Funding agency for:
Palmius, N
Grant:
EP/G036861/1
Publisher:
Journal of Medical Internet Research Publisher's website
Journal:
JMIR Journal website
Volume:
20
Issue:
10
Pages:
e10194
Publication date:
2018-10-22
Acceptance date:
2018-06-10
DOI:
EISSN:
1438-8871
ISSN:
1439-4456
Source identifiers:
923714
Keywords:
Pubs id:
pubs:923714
UUID:
uuid:10e64421-2664-4070-9243-c9eeda5afe45
Local pid:
pubs:923714
Deposit date:
2018-10-05

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