Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Coll...
Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study
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Author / Creator
Zhang, Yuezhou , Folarin, Amos A , Sun, Shaoxiong , Cummins, Nicholas , Yatharth Ranjan , Rashid, Zulqarnain , Conde, Pauline , Stewart, Callum , Laiou, Petroula , Matcham, Faith , Oetzmann, Carolin , Lamers, Femke , Siddi, Sara , Simblett, Sara , Rintala, Aki , Mohr, David C , Myin-Germeys, Inez , Wykes, Til , Haro, Josep Maria , Pennix, Brenda WJH , Narayan, Vaibhav A , Annas, Peter , Hotopf, Matthew and Dobson, Richard JB
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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More information
Scope and Contents
Contents
The Bluetooth sensor embedded in mobile phones provides an unobtrusive, continuous, and cost-efficient means to capture individuals' proximity information, such as the nearby Bluetooth devices count (NBDC). The continuous NBDC data can partially reflect individuals' behaviors and status, such as social connections and interactions, working status,...
Alternative Titles
Full title
Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study
Authors, Artists and Contributors
Author / Creator
Folarin, Amos A
Sun, Shaoxiong
Cummins, Nicholas
Yatharth Ranjan
Rashid, Zulqarnain
Conde, Pauline
Stewart, Callum
Laiou, Petroula
Matcham, Faith
Oetzmann, Carolin
Lamers, Femke
Siddi, Sara
Simblett, Sara
Rintala, Aki
Mohr, David C
Myin-Germeys, Inez
Wykes, Til
Haro, Josep Maria
Pennix, Brenda WJH
Narayan, Vaibhav A
Annas, Peter
Hotopf, Matthew
Dobson, Richard JB
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2518863964
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2518863964
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2104.12407
