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Personal Health Systems for Diabetes Management, Early Diagnosis and Prevention

Personal Health Systems for Diabetes Management, Early Diagnosis and Prevention
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Author(s): Konstantia Zarkogianni (National Technical University of Athens, Greece)and Konstantina S. Nikita (National Technical University of Athens, Greece)
Copyright: 2019
Pages: 28
Source title: Consumer-Driven Technologies in Healthcare: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-6198-9.ch012

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Abstract

This chapter aims at the presentation and comparative assessment of tools and methodologies used for the development of Personal Health Systems (PHSs) for diabetes management, early diagnosis and prevention. Medical decision support systems such as glucose prediction models, risk assessment models for long-term diabetes complications, models for early diagnosis of diabetes and closed-loop glucose controllers along with integrated systems for diabetes management are described. The outcomes of a wide range of research studies demonstrate the feasibility of providing safe, reliable and cost-effective solutions towards improving patients' quality of life through the application of PHSs. Specific limitations that prevent these systems from being fully adopted in clinical practice are highlighted, while challenges and future research directions are summarized.

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