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Predicting Engagement Patterns With Connected Wearable Devices in a Health System: Survival Analysis.

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Title: Predicting Engagement Patterns With Connected Wearable Devices in a Health System: Survival Analysis.
Authors: Clark, Allistair1 (AUTHOR) adam.clark@cshs.org, Gresham, Gillian2 (AUTHOR), Pevnick, Joshua1 (AUTHOR), Duncan, Raymond3 (AUTHOR), Kamrava, Mitchell4 (AUTHOR), Sobolev, Michael2 (AUTHOR)
Source: Journal of Medical Internet Research. 2025, Vol. 27, p1-12. 12p.
Database: Academic Search Ultimate
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Header DbId: asn
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An: 190701473
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PubType: Academic Journal
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  Data: Predicting Engagement Patterns With Connected Wearable Devices in a Health System: Survival Analysis.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Medical+Internet+Research%22">Journal of Medical Internet Research</searchLink>. 2025, Vol. 27, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190701473
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.2196/78507
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      – Code: eng
        Text: English
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        PageCount: 12
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      – TitleFull: Predicting Engagement Patterns With Connected Wearable Devices in a Health System: Survival Analysis.
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            NameFull: Clark, Allistair
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            NameFull: Gresham, Gillian
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            NameFull: Pevnick, Joshua
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            NameFull: Duncan, Raymond
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            NameFull: Kamrava, Mitchell
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            – D: 01
              M: 01
              Text: 2025
              Type: published
              Y: 2025
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              Value: 27
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            – TitleFull: Journal of Medical Internet Research
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