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A Mobile Reasoning System for Supporting the Monitoring of Chronic Diseases

Conference Paper
Publication Date:
2012
abstract:
Advances in health care technologies are radically impacting the management of chronic diseases by providing a new long-term care option that combines supportive systems for monitoring and assessing the patients' health status with activities of daily living. In this respect, this paper presents a mobile reasoning system which can be used to build knowledge-based Decision Support Systems for monitoring and managing ubiquitously and seamlessly chronic patients, specifically designed and developed as a light-weight solution suitable for resource-limited mobile devices. The system is devised to offer knowledge representation and reasoning facilities able to face and efficiently reason on the continuous and real-time flow of data generated by the sensor devices with the final aim of providing answers within a prescribed time and given constraints on the processing power and resources.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Decision Support; Mobile Inferential; Reasoning Ontologies
List of contributors:
Minutolo, Aniello; DE PIETRO, Giuseppe; Esposito, Massimo
Authors of the University:
ESPOSITO MASSIMO
MINUTOLO ANIELLO
Handle:
https://iris.cnr.it/handle/20.500.14243/212693
Book title:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Published in:
LECTURE NOTES OF THE INSTITUTE FOR COMPUTER SCIENCES, SOCIAL INFORMATICS AND TELECOMMUNICATIONS ENGINEERING
Series
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