ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.12407
  4. Cited By
Predicting Depressive Symptom Severity through Individuals' Nearby
  Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary
  Longitudinal Study

Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study

26 April 2021
Yuezhou Zhang
A. Folarin
Shaoxiong Sun
N. Cummins
Yatharth Ranjan
Zulqarnain Rashid
Pauline Conde
Callum Stewart
P. Laiou
F. Matcham
C. Oetzmann
F. Lamers
S. Siddi
Sara Simblett
A. Rintala
D. Mohr
I. Myin‐Germeys
Til Wykes
J. Haro
B. Penninx
V. A. Narayan
P. Annas
Matthew Hotopf
Richard J. B. Dobson
ArXivPDFHTML

Papers citing "Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study"

4 / 4 papers shown
Title
Large-scale digital phenotyping: identifying depression and anxiety
  indicators in a general UK population with over 10,000 participants
Large-scale digital phenotyping: identifying depression and anxiety indicators in a general UK population with over 10,000 participants
Yuezhou Zhang
Callum Stewart
Yatharth Ranjan
Pauline Conde
H. Sankesara
Zulqarnain Rashid
Shaoxiong Sun
Richard J B Dobson
Amos A Folarin
27
2
0
24 Sep 2024
Identifying depression-related topics in smartphone-collected
  free-response speech recordings using an automatic speech recognition system
  and a deep learning topic model
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model
Yuezhou Zhang
A. Folarin
J. Dineley
Pauline Conde
Valeria de Angel
...
V. A. Narayan
Matthew Hotopf
Richard J. B. Dobson
N. Cummins
RADAR-CNS Consortium
49
8
0
22 Aug 2023
Disease Insight through Digital Biomarkers Developed by Remotely
  Collected Wearables and Smartphone Data
Disease Insight through Digital Biomarkers Developed by Remotely Collected Wearables and Smartphone Data
Zulqarnain Rashid
A. Folarin
Yatharth Ranjan
Pauline Conde
H. Sankesara
Yuezhou Zhang
Shaoxiong Sun
Callum Stewart
P. Laiou
Richard J. B. Dobson
17
0
0
03 Aug 2023
Improving Prediction of Real-Time Loneliness and Companionship Type
  Using Geosocial Features of Personal Smartphone Data
Improving Prediction of Real-Time Loneliness and Companionship Type Using Geosocial Features of Personal Smartphone Data
Congyu Wu
A. Barczyk
R. Craddock
Gabriella M. Harari
Edison Thomaz
J. Shumake
C. Beevers
S. Gosling
David M Schnyer
29
23
0
19 Oct 2020
1