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Andreas Triantafyllidis

Researcher at Information Technology Institute

Publications -  51
Citations -  961

Andreas Triantafyllidis is an academic researcher from Information Technology Institute. The author has contributed to research in topics: Health care & Computer science. The author has an hindex of 14, co-authored 40 publications receiving 631 citations. Previous affiliations of Andreas Triantafyllidis include University of Oxford & Aristotle University of Thessaloniki.

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Applications of Machine Learning in Real-Life Digital Health Interventions: Review of the Literature

TL;DR: It is found that digital health interventions incorporating machine learning algorithms in real-life studies can be useful and effective.
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COVID-19 Mobile Apps: A Systematic Review of the Literature.

TL;DR: Mobile apps are considered to be a valuable tool for citizens, health professionals, and decision makers in facing critical challenges imposed by the pandemic, such as reducing the burden on hospitals, providing access to credible information, tracking the symptoms and mental health of individuals, and discovering new predictors.
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A Pervasive Health System Integrating Patient Monitoring, Status Logging, and Social Sharing

TL;DR: The results show that the system is welcome by the chronic patients who are especially willing to share healthcare information, and is easy to learn and use, while its features have been overall regarded by the patients as helpful for their disease management and treatment.
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A personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF Study.

TL;DR: Designers of future mobile-based home monitoring systems for heart failure and other chronic conditions could leverage the described approach as a means of meeting patients' needs during system use within the home environment and facilitating successful uptake.
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A Personalized Framework for Medication Treatment Management in Chronic Care

TL;DR: An architecture was developed, offering monitoring patterns definition for the detection of possible adverse drug events and the assessment of medication response, supported by mechanisms enabling bidirectional communication between the BAN and the clinical site.