[HTML][HTML] Advances in problematic usage of the internet research–A narrative review by experts from the European network for problematic usage of the internet

NA Fineberg, JM Menchón, N Hall, B Dell'Osso… - Comprehensive …, 2022 - Elsevier
Global concern about problematic usage of the internet (PUI), and its public health and
societal costs, continues to grow, sharpened in focus under the privations of the COVID-19 …

Applications of artificial intelligence and big data analytics in m‐health: A healthcare system perspective

ZF Khan, SR Alotaibi - Journal of healthcare engineering, 2020 - Wiley Online Library
Mobile health (m‐health) is the term of monitoring the health using mobile phones and
patient monitoring devices etc. It has been often deemed as the substantial breakthrough in …

Attrition and adherence in smartphone-delivered interventions for mental health problems: A systematic and meta-analytic review.

J Linardon, M Fuller-Tyszkiewicz - Journal of consulting and …, 2020 - psycnet.apa.org
Objectives: Although the efficacy of smartphone-delivered interventions for mental health
problems is emerging, randomized controlled trials (RCTs) of smartphone interventions are …

Engagement in digital interventions.

I Nahum-Shani, SD Shaw, SM Carpenter… - American …, 2022 - psycnet.apa.org
The notion of “engagement,” which plays an important role in various domains of
psychology, is gaining increased currency as a concept that is critical to the success of …

[HTML][HTML] Applications of machine learning in real-life digital health interventions: review of the literature

AK Triantafyllidis, A Tsanas - Journal of medical Internet research, 2019 - jmir.org
Background Machine learning has attracted considerable research interest toward
develo** smart digital health interventions. These interventions have the potential to …

[HTML][HTML] To prompt or not to prompt? A microrandomized trial of time-varying push notifications to increase proximal engagement with a mobile health app

N Bidargaddi, D Almirall, S Murphy… - JMIR mHealth and …, 2018 - mhealth.jmir.org
Background: Mobile health (mHealth) apps provide an opportunity for easy, just-in-time
access to health promotion and self-management support. However, poor user engagement …

Designing m-Health interventions for precision mental health support

N Bidargaddi, G Schrader, P Klasnja, J Licinio… - Translational …, 2020 - nature.com
Mobile health (m-Health) resources are emerging as a significant tool to overcome mental
health support access barriers due to their ability to rapidly reach and provide support to …

Detecting receptivity for mHealth interventions in the natural environment

V Mishra, F Künzler, JN Kramer, E Fleisch… - Proceedings of the …, 2021 - dl.acm.org
Just-In-Time Adaptive Intervention (JITAI) is an emerging technique with great potential to
support health behavior by providing the right type and amount of support at the right time. A …

[HTML][HTML] Predicting which type of push notification content motivates users to engage in a self-monitoring app

N Bidargaddi, T Pituch, H Maaieh, C Short… - Preventive medicine …, 2018 - Elsevier
Despite the unprecedented access to self-monitoring health apps, lack of optimal user
engagement remains a significant challenge. Push notification prompts with contextually …

Exploring the state-of-receptivity for mHealth interventions

F Künzler, V Mishra, JN Kramer, D Kotz… - Proceedings of the …, 2019 - dl.acm.org
Recent advancements in sensing techniques for mHealth applications have led to
successful development and deployments of several mHealth intervention designs …