The Diabino System: Temporal Pattern Mining from Diabetes Healthcare and Daily Self-monitoring Data
In this study, we present an intelligent clinical diabetes management system to support the processes of follow up and treatment of diabetic patients. In addition, temporal pattern mining is proposed as a tool for explaining and predicting the long-term course of the disease. In particular, a fast time-interval pattern mining algorithm is utilized for knowledge discovery from a multivariate dataset concerning not only long-term clinical diabetes data but also daily self-monitoring data.
KeywordsDiabetes management Temporal pattern mining
This work is supported by the research project “Development of an Information Environment for Diabetes Data Analysis and New Knowledge Mining” that has been co-financed by the European Union (European Regional Development Fund—ERDF) and Greek national funds through the Operational Program “THESSALY-MAINLAND GREECE AND EPIRUS-2007–2013” of the National Strategic Reference Framework (NSRF 2007–2013).
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