This paper is in the following e-collection/theme issue:

Digital Biomarkers and Digital Phenotyping (227) Mobile Health (mhealth) (3147) mHealth for Data Collection and Research (1080) Depression and Mood Disorders; Suicide Prevention (1514) Mobile Health in Psychiatry (477) Wearable Devices and Sensors (990) Methods and New Tools in Mental Health Research (497) New Methods (1029)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29840, first published .
Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study

Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study

Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study

Authors of this article:

Yuezhou Zhang1 Author Orcid Image ;   Amos A Folarin1, 2, 3, 4, 5 Author Orcid Image ;   Shaoxiong Sun1 Author Orcid Image ;   Nicholas Cummins1 Author Orcid Image ;   Yatharth Ranjan1 Author Orcid Image ;   Zulqarnain Rashid1 Author Orcid Image ;   Pauline Conde1 Author Orcid Image ;   Callum Stewart1 Author Orcid Image ;   Petroula Laiou1 Author Orcid Image ;   Faith Matcham6 Author Orcid Image ;   Carolin Oetzmann6 Author Orcid Image ;   Femke Lamers7 Author Orcid Image ;   Sara Siddi8, 9, 10 Author Orcid Image ;   Sara Simblett11 Author Orcid Image ;   Aki Rintala12, 13 Author Orcid Image ;   David C Mohr14 Author Orcid Image ;   Inez Myin-Germeys12 Author Orcid Image ;   Til Wykes3, 11 Author Orcid Image ;   Josep Maria Haro8, 9, 10 Author Orcid Image ;   Brenda W J H Penninx7 Author Orcid Image ;   Vaibhav A Narayan15 Author Orcid Image ;   Peter Annas16 Author Orcid Image ;   Matthew Hotopf3, 6 Author Orcid Image ;   Richard J B Dobson1, 2, 3, 4, 5 Author Orcid Image ;   RADAR-CNS Consortium17
Article Authors Cited by (33) Tweetations (34) Metrics
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New in JMIR mhealth: Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data… https://t.co/IMDtJ3Ebd3

2:05 PM · Jul 30, 2021

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RT @jmirpub: New in JMIR mhealth: Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected…

2:05 PM · Jul 30, 2021

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Jussi Virkkala Jussi Virkkala @jussivirkkala

RT @jmirpub: New in JMIR mhealth: Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected…

2:10 PM · Jul 30, 2021

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Neuronet Neuronet @IMI2_NEURONET

.@IMI_JU-funded @RADARCNS project found that nearby Bluetooth device count data have the potential to reflect chang… https://t.co/p2Deej7ZrU

7:22 AM · Aug 02, 2021

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Chris Bintener Chris Bintener @ChrisBintener

RT @IMI2_NEURONET: .@IMI_JU-funded @RADARCNS project found that nearby Bluetooth device count data have the potential to reflect changes in…

7:30 AM · Aug 02, 2021

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RT @IMI2_NEURONET: .@IMI_JU-funded @RADARCNS project found that nearby Bluetooth device count data have the potential to reflect changes in…

7:41 AM · Aug 02, 2021

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Amos Folarin Amos Folarin @amosfolarin

RT @IMI2_NEURONET: .@IMI_JU-funded @RADARCNS project found that nearby Bluetooth device count data have the potential to reflect changes in…

7:47 AM · Aug 02, 2021

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RADAR-base.org RADAR-base.org @radar_base

RT @IMI2_NEURONET: .@IMI_JU-funded @RADARCNS project found that nearby Bluetooth device count data have the potential to reflect changes in…

8:04 AM · Aug 02, 2021

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PHIDL PHIDL @phidatalab

RT @IMI2_NEURONET: .@IMI_JU-funded @RADARCNS project found that nearby Bluetooth device count data have the potential to reflect changes in…

8:18 AM · Aug 02, 2021

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Jake Andrews Jake Andrews @JAndrewsMT

RT @IMI2_NEURONET: .@IMI_JU-funded @RADARCNS project found that nearby Bluetooth device count data have the potential to reflect changes in…

8:26 AM · Aug 02, 2021

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Yuezhou Zhang Yuezhou Zhang @yuezhou_zhang

RT @IMI2_NEURONET: .@IMI_JU-funded @RADARCNS project found that nearby Bluetooth device count data have the potential to reflect changes in…

9:57 AM · Aug 02, 2021

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Richard Dobson Richard Dobson @richdobson

RT @IMI2_NEURONET: .@IMI_JU-funded @RADARCNS project found that nearby Bluetooth device count data have the potential to reflect changes in…

5:33 AM · Aug 04, 2021

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Yuezhou Zhang Yuezhou Zhang @yuezhou_zhang

????New paper???? We explored the use of Nearby Bluetooth Device Count (NBDC) data collected by mobile phones to predict… https://t.co/m4OT2J8ovf

2:35 PM · Aug 04, 2021

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Amos Folarin Amos Folarin @amosfolarin

RT @yuezhou_zhang: ????New paper???? We explored the use of Nearby Bluetooth Device Count (NBDC) data collected by mobile phones to predict depre…

3:08 PM · Aug 04, 2021

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RADAR-base.org RADAR-base.org @radar_base

RT @yuezhou_zhang: ????New paper???? We explored the use of Nearby Bluetooth Device Count (NBDC) data collected by mobile phones to predict depre…

3:08 PM · Aug 04, 2021

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PHIDL PHIDL @phidatalab

RT @yuezhou_zhang: ????New paper???? We explored the use of Nearby Bluetooth Device Count (NBDC) data collected by mobile phones to predict depre…

3:09 PM · Aug 04, 2021

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Pitt Behavioral Health, Media, & Tech Pitt Behavioral Health, Media, & Tech @PittHealthTech

Nearby Bluetooth Device Count data has the potential to reflect changes in individuals’ behaviors and statuses conc… https://t.co/3USFNfVAwp

5:20 PM · Aug 04, 2021

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Richard Dobson Richard Dobson @richdobson

RT @yuezhou_zhang: ????New paper???? We explored the use of Nearby Bluetooth Device Count (NBDC) data collected by mobile phones to predict depre…

8:03 PM · Aug 04, 2021

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UCL Discovery UCL Discovery @ucl_discovery

Open Access UCL Research: Predicting Depressive Symptom Severity Through Individuals' Nearby Bluetooth Device Count… https://t.co/QjqvoTv9Ts

1:05 PM · Aug 05, 2021

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RADAR-CNS RADAR-CNS @RADARCNS

Great to see this important paper on Nearby Bluetooth Device Count data. Look out for the news story on our website… https://t.co/qZxmsHmPLW

3:59 PM · Aug 05, 2021

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Neuronet Neuronet @IMI2_NEURONET

RT @yuezhou_zhang: ????New paper???? We explored the use of Nearby Bluetooth Device Count (NBDC) data collected by mobile phones to predict depre…

6:49 AM · Aug 06, 2021

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Robert Jakob Robert Jakob @robertjakob

Predicting Depressive Symptom Severity with Mobile Phones: https://t.co/jN92PkgQ8m #mhealth #dhis #depression

11:00 AM · Aug 09, 2021

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CareMo CareMo @caring_mobile

RT @robertjkb: Predicting Depressive Symptom Severity with Mobile Phones: https://t.co/jN92PkgQ8m #mhealth #dhis #depression

11:07 AM · Aug 09, 2021

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Biostatistics & Health Informatics (KCL) Biostatistics & Health Informatics (KCL) @KCLBHI

RT @yuezhou_zhang: ????New paper???? We explored the use of Nearby Bluetooth Device Count (NBDC) data collected by mobile phones to predict depre…

2:49 PM · Aug 09, 2021

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Rob Hickman Rob Hickman @robhickman_

1⃣ RADAR-MDD: https://t.co/TERQcvB2rS 2⃣ Mohr et al. 2017: https://t.co/tuKaPjuRJj 3⃣ Zhang et al. 2021: https://t.co/twk6RIXX9o 4⃣ Sun et al. 2020: https://t.co/wRs4JLsbkb 5⃣ Liu et al. 2021: https://t.co/IQVnpU2ThI ???? RADAR-CNS: https://t.co/JyzHzdtLiX https://t.co/n80uYd4CNI

2:48 PM · Dec 07, 2021

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Leonhard Schilbach Leonhard Schilbach @leoschilbach

Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile… https://t.co/IDbZrwtHUO

7:24 PM · May 16, 2022

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Leonhard Schilbach Leonhard Schilbach @leoschilbach

Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile… https://t.co/IDbZrwtHUO

7:24 PM · May 16, 2022

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Leonhard Schilbach Leonhard Schilbach @leoschilbach

RT @leoschilbach: Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones…

8:06 PM · May 16, 2022

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Leonhard Schilbach Leonhard Schilbach @leoschilbach

RT @leoschilbach: Predicting Depressive Symptom Severity Through Individuals’ Nearby Bluetooth Device Count Data Collected by Mobile Phones…

8:06 PM · May 16, 2022

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cs.LG Papers cs.LG Papers @arxiv_cs_LG

Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study. Zhang et al. https://t.co/LYowDHisJC

4:24 AM · Apr 27, 2021

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Helio Rocha Helio Rocha @_elioRocha

"Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study. (arXiv:2104.12407v1 [https://t.co/rnjY1tRrwN])" #arXiv https://t.co/j5tXt5li9K

7:09 AM · Apr 27, 2021

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Stat.ML Papers Stat.ML Papers @StatMLPapers

Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study. (arXiv:2104.12407v1 [https://t.co/zjV5HgYw5a]) https://t.co/I33RNwRnv3

7:47 AM · Apr 27, 2021

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Amos Folarin Amos Folarin @amosfolarin

????New Paper (preprint)???? We explored the use of Nearby Bluetooth Device Count (NBDC) remote monitoring as a means to predict depressive states in RADAR-CNS @yuezhou_zhang @RADARCNS @radar_base @richdobson #Depression https://t.co/wRlYLqD8Zs https://t.co/N8nImJfHqp

10:08 AM · Apr 27, 2021

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RADAR-base.org RADAR-base.org @radar_base

RT @amosfolarin: ????New Paper (preprint)???? We explored the use of Nearby Bluetooth Device Count (NBDC) remote monitoring as a means to predict…

10:41 AM · Apr 27, 2021

13
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Yuezhou Zhang Yuezhou Zhang @yuezhou_zhang

RT @amosfolarin: ????New Paper (preprint)???? We explored the use of Nearby Bluetooth Device Count (NBDC) remote monitoring as a means to predict…

10:50 AM · Apr 27, 2021

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PHIDL PHIDL @phidatalab

RT @amosfolarin: ????New Paper (preprint)???? We explored the use of Nearby Bluetooth Device Count (NBDC) remote monitoring as a means to predict…

11:16 AM · Apr 27, 2021

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RADAR-CNS RADAR-CNS @RADARCNS

RT @amosfolarin: ????New Paper (preprint)???? We explored the use of Nearby Bluetooth Device Count (NBDC) remote monitoring as a means to predict…

12:08 PM · Apr 27, 2021

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Richard Dobson Richard Dobson @richdobson

RT @amosfolarin: ????New Paper (preprint)???? We explored the use of Nearby Bluetooth Device Count (NBDC) remote monitoring as a means to predict…

3:17 PM · Apr 27, 2021

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午後のarXiv 午後のarXiv @arxivml

"Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobil… https://t.co/pZDocmJB2V

5:41 PM · Apr 27, 2021

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