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Predicting Depressive Symptom Severity Through Individuals'..:

Zhang, Y ; Folarin, AA ; Sun, S...
https://discovery.ucl.ac.uk/id/eprint/10132438/1/Dobson_Predicting%20Depressive%20Symptom%20Severity%20Through%20Individuals%27%20Nearby%20Bluetooth%20Device%20Count%20Data%20Collected%20by%20Mobile%20Phones_VoR.pdf. , 2021

Link: https://discovery.ucl.ac.uk/id/eprint/10132438/1/Dobso..

RT Journal
T1 <Title>Predicting Depressive Symptom Severity Through Individuals' Nearby Bluetooth Device Count Data Collected by Mobile Phones: Preliminary Longitudinal Study</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftucl:oai:eprints.ucl.ac.uk.OAI2:10132438&Exemplar=1&LAN=DE
				
A1 Zhang, Y
A1 Folarin, AA
A1 Sun, S
A1 Cummins, N
A1 Ranjan, Y
A1 Rashid, Z
A1 Conde, P
A1 Stewart, C
A1 Laiou, P
A1 Matcham, F
A1 Oetzmann, C
A1 Lamers, F
A1 Siddi, S
A1 Simblett, S
A1 Rintala, A
A1 Mohr, DC
A1 Myin-Germeys, I
A1 Wykes, T
A1 Haro, JM
A1 Penninx, BWJH
A1 Narayan, VA
A1 Annas, P
A1 Hotopf, M
A1 Dobson, RJB
YR 2021
K1 Bluetooth
K1 depression
K1 digital biomarkers
K1 digital health
K1 digital phenotyping
K1 hierarchical Bayesian model
K1 mHealth
K1 mental health
K1 mobile health
K1 monitoring
JF https://discovery.ucl.ac.uk/id/eprint/10132438/1/Dobson_Predicting%20Depressive%20Symptom%20Severity%20Through%20Individuals%27%20Nearby%20Bluetooth%20Device%20Count%20Data%20Collected%20by%20Mobile%20Phones_VoR.pdf
LK http://dx.doi.org/https://discovery.ucl.ac.uk/id/eprint/10132438/1/Dobson_Predicting%20Depressive%20Symptom%20Severity%20Through%20Individuals%27%20Nearby%20Bluetooth%20Device%20Count%20Data%20Collected%20by%20Mobile%20Phones_VoR.pdf
DO https://discovery.ucl.ac.uk/id/eprint/10132438/1/Dobson_Predicting%20Depressive%20Symptom%20Severity%20Through%20Individuals%27%20Nearby%20Bluetooth%20Device%20Count%20Data%20Collected%20by%20Mobile%20Phones_VoR.pdf
SF ELIB - SuUB Bremen

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