Journal article
Group-personalized regression models for predicting mental health scores from objective mobile phone data streams: observational study
- Abstract:
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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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(Version of record, pdf, 1.1MB)
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- Publisher copy:
- 10.2196/10194
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Funding
Bibliographic Details
- 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:
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1438-8871
- ISSN:
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1439-4456
- Source identifiers:
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923714
Item Description
- Keywords:
- Pubs id:
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pubs:923714
- UUID:
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uuid:10e64421-2664-4070-9243-c9eeda5afe45
- Local pid:
- pubs:923714
- Deposit date:
- 2018-10-05
Terms of use
- Copyright holder:
- Palmius, et al
- Copyright date:
- 2018
- Notes:
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© Palmius, et al. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.10.2018.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
- Licence:
- CC Attribution (CC BY)
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