Risk assessment models for diabetes complications: A survey of available online tools

Lefteris Koumakis; Franco Chiarugi; Vincenzo Lagani; Angelina Kouroubali; Ioannis Tsamardinos

doi:10.1007/978-3-642-29734-2_7

Risk assessment models for diabetes complications: A survey of available online tools

Lefteris Koumakis, Franco Chiarugi, Vincenzo Lagani, Angelina Kouroubali, Ioannis Tsamardinos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

Predictions, risk assessment and risk profiling are among the various decision support techniques that medical professionals increasingly rely on to provide early diagnose in patients with elevated risks and to slow down the rapid increase in prevalence of chronic diseases. The introduction of risk assessment tools and applications for chronic diseases in large scale longitudinal clinical studies, presents many challenges due to the nature of the data (studies last around a decade) and the complexity of the models. In this paper, we give an overview of research work on risk assessment tools and applications for diabetes complications. We also introduce the REACTION project and its vision in the field of risk assessment for diabetes complications. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.

Original language	English (US)
Title of host publication	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Pages	46-53
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-29734-2_7
State	Published - Jul 31 2012
Externally published	Yes

ASJC Scopus subject areas

Computer Networks and Communications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-642-29734-2_7

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abstract = "Predictions, risk assessment and risk profiling are among the various decision support techniques that medical professionals increasingly rely on to provide early diagnose in patients with elevated risks and to slow down the rapid increase in prevalence of chronic diseases. The introduction of risk assessment tools and applications for chronic diseases in large scale longitudinal clinical studies, presents many challenges due to the nature of the data (studies last around a decade) and the complexity of the models. In this paper, we give an overview of research work on risk assessment tools and applications for diabetes complications. We also introduce the REACTION project and its vision in the field of risk assessment for diabetes complications. {\textcopyright} 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.",

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AU - Lagani, Vincenzo

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AU - Tsamardinos, Ioannis

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AB - Predictions, risk assessment and risk profiling are among the various decision support techniques that medical professionals increasingly rely on to provide early diagnose in patients with elevated risks and to slow down the rapid increase in prevalence of chronic diseases. The introduction of risk assessment tools and applications for chronic diseases in large scale longitudinal clinical studies, presents many challenges due to the nature of the data (studies last around a decade) and the complexity of the models. In this paper, we give an overview of research work on risk assessment tools and applications for diabetes complications. We also introduce the REACTION project and its vision in the field of risk assessment for diabetes complications. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.

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BT - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering

ER -

Risk assessment models for diabetes complications: A survey of available online tools

Abstract

ASJC Scopus subject areas

UN SDGs

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