[HTML][HTML] Increasing physical activity using an just-in-time adaptive digital assistant supported by machine learning: A novel approach for hyper-personalised mHealth …

C Vandelanotte, S Trost, D Hodgetts, T Imam… - Journal of Biomedical …, 2023 - Elsevier
Objective Physical inactivity is a leading modifiable cause of death and disease worldwide.
Population-based interventions to increase physical activity are needed. Existing automated …

Designing personalised mHealth solutions: An overview

O Rivera-Romero, E Gabarron, J Ropero… - Journal of Biomedical …, 2023 - Elsevier
Introduction Mobile health, or mHealth, is based on mobile information and communication
technologies and provides solutions for empowering individuals to participate in healthcare …

[HTML][HTML] Tailored motivational message generation: A model and practical framework for real-time physical activity coaching

H op den Akker, M Cabrita, R op den Akker… - Journal of biomedical …, 2015 - Elsevier
This paper presents a comprehensive and practical framework for automatic generation of
real-time tailored messages in behavior change applications. Basic aspects of motivational …

Usability testing of a social media chatbot for increasing physical activity behavior

D Larbi, K Denecke, E Gabarron - Journal of Personalized Medicine, 2022 - mdpi.com
Digital interventions for increasing physical activity behavior have shown great potential,
especially those with social media. Chatbots, also known as conversational agents, have …

[HTML][HTML] Development of web-based computer-tailored advice to promote physical activity among people older than 50 years

DA Peels, MM van Stralen, C Bolman… - Journal of Medical …, 2012 - jmir.org
Background The Active Plus project is a systematically developed theory-and evidence-
based, computer-tailored intervention, which was found to be effective in changing physical …

Personalized heartsteps: A reinforcement learning algorithm for optimizing physical activity

P Liao, K Greenewald, P Klasnja… - Proceedings of the ACM on …, 2020 - dl.acm.org
With the recent proliferation of mobile health technologies, health scientists are increasingly
interested in developing just-in-time adaptive interventions (JITAIs), typically delivered via …

Machine learning techniques in adaptive and personalized systems for health and wellness

O Oyebode, J Fowles, D Steeves… - International Journal of …, 2023 - Taylor & Francis
Traditional health systems mostly rely on rules created by experts to offer adaptive
interventions to patients. However, with recent advances in artificial intelligence (AI) and …

A systematic review of just-in-time adaptive interventions (JITAIs) to promote physical activity

W Hardeman, J Houghton, K Lane, A Jones… - International Journal of …, 2019 - Springer
Background Progress in mobile health (mHealth) technology has enabled the design of just-
in-time adaptive interventions (JITAIs). We define JITAIs as having three features …

[HTML][HTML] How do mobile health applications support behaviour changes? A scoping review of mobile health applications relating to physical activity and eating …

O Aromatario, A Van Hoye, A Vuillemin, AM Foucaut… - Public health, 2019 - Elsevier
Objective The objective of this review was to analyse how researchers conducting studies
about mobile health applications (MHApps) effectiveness assess the conditions of this …

[HTML][HTML] Quality, usability, and effectiveness of mHealth apps and the role of artificial intelligence: current scenario and challenges

A Deniz-Garcia, H Fabelo… - Journal of Medical …, 2023 - jmir.org
The use of artificial intelligence (AI) and big data in medicine has increased in recent years.
Indeed, the use of AI in mobile health (mHealth) apps could considerably assist both …