http://www.cnr.it/ontology/cnr/individuo/prodotto/ID208840
A Mobile Reasoning System for Supporting the Monitoring of Chronic Diseases (Contributo in atti di convegno)
- Type
- Label
- A Mobile Reasoning System for Supporting the Monitoring of Chronic Diseases (Contributo in atti di convegno) (literal)
- Anno
- 2012-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/978-3-642-29734-2_31 (literal)
- Alternative label
Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro (2012)
A Mobile Reasoning System for Supporting the Monitoring of Chronic Diseases
in Second International ICST Conference, MobiHealth 2011, Kos Island, Greece, October 5-7, 2011
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Aniello Minutolo, Massimo Esposito, Giuseppe De Pietro (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- ICAR-CNR, ICAR-CNR, ICAR-CNR (literal)
- Titolo
- A Mobile Reasoning System for Supporting the Monitoring of Chronic Diseases (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-3-642-29733-5 (literal)
- 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. (literal)
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