[HTML][HTML] An overview of chatbot-based mobile mental health apps: insights from app description and user reviews

MDR Haque, S Rubya - JMIR mHealth and uHealth, 2023 - mhealth.jmir.org
Background: Chatbots are an emerging technology that show potential for mental health
care apps to enable effective and practical evidence-based therapies. As this technology is …

Personalization strategies in digital mental health interventions: a systematic review and conceptual framework for depressive symptoms

S Hornstein, K Zantvoort, U Lueken, B Funk… - Frontiers in digital …, 2023 - frontiersin.org
Introduction Personalization is a much-discussed approach to improve adherence and
outcomes for Digital Mental Health interventions (DMHIs). Yet, major questions remain open …

[HTML][HTML] Predicting depression from smartphone behavioral markers using machine learning methods, hyperparameter optimization, and feature importance analysis …

K Opoku Asare, Y Terhorst, J Vega… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background Depression is a prevalent mental health challenge. Current depression
assessment methods using self-reported and clinician-administered questionnaires have …

[HTML][HTML] Implementation of cognitive behavioral therapy in e–mental health apps: literature review

K Denecke, N Schmid, S Nüssli - Journal of medical Internet research, 2022 - jmir.org
Background: To address the matter of limited resources for treating individuals with mental
disorders, e–mental health has gained interest in recent years. More specifically, mobile …

[HTML][HTML] Data visualization for chronic neurological and mental health condition self-management: systematic review of user perspectives

A Polhemus, J Novak, S Majid, S Simblett… - JMIR mental …, 2022 - mental.jmir.org
Background: Remote measurement technologies (RMT) such as mobile health devices and
apps are increasingly used by those living with chronic neurological and mental health …

Between rhetoric and reality: Real-world barriers to uptake and early engagement in digital mental health interventions

J Jardine, C Nadal, S Robinson, A Enrique… - ACM Transactions on …, 2024 - dl.acm.org
Digital mental health interventions (DMHIs) have potential to provide effective and
accessible care to entire populations, but low client uptake and engagement are significant …

Designing mental health technologies that support the social ecosystem of college students

EG Lattie, R Kornfield, KE Ringland, R Zhang… - Proceedings of the …, 2020 - dl.acm.org
The last decade has seen increased reports of mental health problems among college
students, with college counseling centers struggling to keep up with the demand for …

MUBS: A personalized recommender system for behavioral activation in mental health

DA Rohani, A Quemada Lopategui, N Tuxen… - Proceedings of the …, 2020 - dl.acm.org
Depression is a leading cause of disability worldwide, which has inspired the design of
mobile health (mHealth) applications for disease monitoring, prediction, and diagnosis. Less …

Selling glossy, easy futures: A feminist exploration of commercial mental-health-focused self-care apps' descriptions in the google play store

V Spors, HG Wagner, M Flintham, P Brundell… - Proceedings of the …, 2021 - dl.acm.org
Self-care apps offer a wide variety of different therapy paradigms, pedagogies and concepts
for people to maintain and make sense of their mental health. However, as human-made …

[HTML][HTML] Health tracking via mobile apps for depression self-management: qualitative content analysis of user reviews

A Polhemus, S Simblett, E Dawe-Lane… - JMIR Human …, 2022 - humanfactors.jmir.org
Background: Tracking and visualizing health data using mobile apps can be an effective self-
management strategy for mental health conditions. However, little evidence is available to …