A systematic review of location data for depression prediction

J Shin, SM Bae - International Journal of Environmental Research and …, 2023 - mdpi.com
Depression contributes to a wide range of maladjustment problems. With the development of
technology, objective measurement for behavior and functional indicators of depression has …

Digital phenotyping for mental health: reviewing the challenges of using data to monitor and predict mental health problems

RH Birk, G Samuel - Current psychiatry reports, 2022 - Springer
Abstract Purpose of Review We review recent developments within digital phenotyping for
mental health, a field dedicated to using digital data for diagnosing, predicting, and …

[HTML][HTML] Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep …

Y Zhang, AA Folarin, J Dineley, P Conde… - Journal of affective …, 2024 - Elsevier
Background Prior research has associated spoken language use with depression, yet
studies often involve small or non-clinical samples and face challenges in the manual …

[HTML][HTML] From smartphone data to clinically relevant predictions: A systematic review of digital phenotyping methods in depression

IE Leaning, N Ikani, HS Savage, A Leow… - Neuroscience & …, 2024 - Elsevier
Background Smartphone-based digital phenotyping enables potentially clinically relevant
information to be collected as individuals go about their day. This could improve monitoring …

[HTML][HTML] Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

S Sun, AA Folarin, Y Zhang, N Cummins… - Journal of medical …, 2023 - jmir.org
Background Major depressive disorder (MDD) affects millions of people worldwide, but
timely treatment is not often received owing in part to inaccurate subjective recall and …

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study

Y Zhang, A Pratap, AA Folarin, S Sun, N Cummins… - NPJ digital …, 2023 - nature.com
Recent growth in digital technologies has enabled the recruitment and monitoring of large
and diverse populations in remote health studies. However, the generalizability of inference …

[HTML][HTML] Geolocation patterns, Wi-Fi connectivity rates, and psychiatric symptoms among urban homeless youth: mixed methods study using self-report and …

Y Ilyas, SH Daryani, D Kiriella… - JMIR Formative …, 2023 - formative.jmir.org
Background: Despite significant research done on youth experiencing homelessness, few
studies have examined movement patterns and digital habits in this population. Examining …

[HTML][HTML] Daily life affective dynamics as transdiagnostic predictors of mental health symptoms: An ecological momentary assessment study

X Zhu, Y Yang, Z Xiao, A Pooley, E Ozdemir… - Journal of Affective …, 2024 - Elsevier
Background Affective dynamics have been identified as a correlate of a broad span of
mental health issues, making them key candidate transdiagnostic factors. However, there …

[PDF][PDF] Assessing potential driving factors of the ecosystem service value of mariculture shellfish in China using a structural equation modeling approach

Y Gu, L Wang, S Lyu, J Dong, B Liu… - Frontiers in Marine …, 2023 - researchgate.net
China is one of the major mariculture countries in the world, with more than 70% of the total
global mariculture production (Dai et al., 2022). With the exploitation of marine biological …

[HTML][HTML] Mobile Assessments of Mood, Cognition, Smartphone-Based Sensor Activity, and Variability in Craving and Substance Use in Patients With Substance Use …

ADF Lauvsnes, TI Hansen, SØ Ankill… - JMIR Formative …, 2023 - formative.jmir.org
Background Patients with substance use disorders (SUDs) are at increased risk for symptom
deterioration following treatment, with up to 60% resuming substance use within the first …