[HTML][HTML] Risk factors and digital interventions for anxiety disorders in college students: Stakeholder perspectives

XQ Liu, YX Guo, Y Xu - World Journal of Clinical Cases, 2023 - ncbi.nlm.nih.gov
The worldwide prevalence of anxiety disorders among college students is high, which
negatively affects countries, schools, families, and individual students to varying degrees …

[HTML][HTML] Deep learning intervention for health care challenges: some biomedical domain considerations

I Tobore, J Li, L Yuhang, Y Al-Handarish… - JMIR mHealth and …, 2019 - mhealth.jmir.org
The use of deep learning (DL) for the analysis and diagnosis of biomedical and health care
problems has received unprecedented attention in the last decade. The technique has …

From personalized medicine to population health: a survey of mHealth sensing techniques

Z Wang, H **ong, J Zhang, S Yang… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Mobile sensing systems have been widely used as a practical approach to collect
behavioral and health-related information from individuals and to provide timely intervention …

[HTML][HTML] Online mental health interventions designed for students in higher education: A user-centered perspective

O Oti, I Pitt - Internet interventions, 2021 - Elsevier
Background Digital mental health interventions have been posited as a way of reducing the
burden on mental health services in higher education institutions. However, low adherence …

[HTML][HTML] Understanding mental health app use among community college students: web-based survey study

J Borghouts, EV Eikey, G Mark, C De Leon… - Journal of medical …, 2021 - jmir.org
Background: Mental health concerns are a significant issue among community college
students, who often have less access to resources than traditional university college …

Beyond Detection: Towards Actionable Sensing Research in Clinical Mental Healthcare

DA Adler, Y Yang, T Viranda, X Xu, DC Mohr… - Proceedings of the …, 2024 - dl.acm.org
Researchers in ubiquitous computing have long promised that passive sensing will
revolutionize mental health measurement by detecting individuals in a population …

The perceived utility of smartphone and wearable sensor data in digital self-tracking technologies for mental health

KP Kruzan, A Ng, C Stiles-Shields, EG Lattie… - Proceedings of the …, 2023 - dl.acm.org
Mental health symptoms are commonly discovered in primary care. Yet, these settings are
not set up to provide psychological treatment. Digital interventions can play a crucial role in …

Patient and physician perspectives of a smartphone application for depression: a qualitative study

MC Patoz, D Hidalgo-Mazzei, O Blanc, N Verdolini… - BMC psychiatry, 2021 - Springer
Background Despite an increasing number of smartphone apps, such therapeutic tools have
not yet consistently demonstrated their efficacy and many suffer from low retention rates. To …

" Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression

R Kornfield, R Zhang, J Nicholas… - Proceedings of the …, 2020 - dl.acm.org
While the HCI field increasingly examines how digital tools can support individuals in
managing mental health conditions, it remains unclear how these tools can accommodate …

A Meta-Synthesis of the Barriers and Facilitators for Personal Informatics Systems

KS Kabir, J Wiese - Proceedings of the ACM on Interactive, Mobile …, 2023 - dl.acm.org
Personal informatics (PI) systems are designed for diverse users in the real world. Even
when these systems are usable, people encounter barriers while engaging with them in …