Analyzing text message linguistic features: Do people with depression communicate differently with their close and non-close contacts?

J Meyerhoff, T Liu, CA Stamatis, T Liu, H Wang… - … Research and Therapy, 2023 - Elsevier
Background Relatively little is known about how communication changes as a function of
depression severity and interpersonal closeness. We examined the linguistic features of …

Machine learning applied to digital phenotyping: A systematic literature review and taxonomy

MP dos Santos, WF Heckler, RS Bavaresco… - Computers in Human …, 2024 - Elsevier
Health conditions, encompassing both physical and mental aspects, hold an influence that
extends beyond the individual. These conditions affect personal well-being, relationships …

Fedtherapist: Mental health monitoring with user-generated linguistic expressions on smartphones via federated learning

J Shin, H Yoon, S Lee, S Park, Y Liu, JD Choi… - arXiv preprint arXiv …, 2023 - arxiv.org
Psychiatrists diagnose mental disorders via the linguistic use of patients. Still, due to data
privacy, existing passive mental health monitoring systems use alternative features such as …

Classification and analysis of text transcription from Thai depression assessment tasks among patients with depression

A Munthuli, P Pooprasert, N Klangpornkun… - PLoS one, 2023 - journals.plos.org
Depression is a serious mental health disorder that poses a major public health concern in
Thailand and have a profound impact on individuals' physical and mental health. In addition …

Behind the Screen: A Narrative Review on the Translational Capacity of Passive Sensing for Mental Health Assessment

AC Bryan, MV Heinz, AJ Salzhauer, GD Price… - Biomedical Materials & …, 2024 - Springer
Mental health disorders—including depression, anxiety, trauma-related, and psychotic
conditions—are pervasive and impairing, representing considerable challenges for both …

Symptom Detection with Text Message Log Distributions for Holistic Depression and Anxiety Screening

ML Tlachac, M Heinz, M Reisch… - Proceedings of the ACM on …, 2024 - dl.acm.org
Major Depressive Disorder (MDD) and Generalized Anxiety Disorder (GAD) are both
heterogeneous in their clinical presentations, manifesting with unique symptom profiles …

Mental Health and Mobile Communication Profiles of Crowdsourced Participants

ML Tlachac, M Heinz - IEEE Journal of Biomedical and Health …, 2024 - ieeexplore.ieee.org
Major Depressive Disorder (MDD) and Generalized Anxiety Disorder (GAD) are highly
prevalent and burdensome. To increase mental health screening rates, the digital health …

Mobile Communication Log Time Series to Detect Depressive Symptoms

ML Tlachac, M Reisch, M Heinz - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
Major Depressive Disorder (MDD) is highly prevalent and characterized by often debilitating
behavioral and cognitive symptoms. MDD is poorly understood, likely due to considerable …

Bayesian Optimization with Tree Ensembles to Improve Depression Screening on Textual Datasets

T Zhao, ML Tlachac - IEEE Transactions on Affective …, 2024 - ieeexplore.ieee.org
Improving digital depression screening is important for combating the global mental health
crisis. Textual data are promising for depression screening due to their many origins, but the …

Deep Learning-Based Depression Recognition Through Facial Expression: A Systematic Review

X Cao, L Zhai, P Zhai, F Li, L He, T He - Available at SSRN 4884262 - papers.ssrn.com
Depression is a type of prevalent mental illness that can lead to suicidal or self-harm
behaviours in severe cases. Recently, depression recognition has garnered extensive …