A pervasive approach to a real-time intelligent decision support system in inte...

• Autor(es): Portela, Filipe ; Santos, Manuel Filipe ; Vilas-Boas, Marta
• Data: 2012
• Identificador Persistente: http://hdl.handle.net/1822/21717
• Origem: RepositóriUM - Universidade do Minho
• Assunto(s): Real-time; Pervasive; Remotly access; Knowledge discovery in databases (KDD); Intensive care; INTCare; Intelligent decision support systems (IDSS)
• Tipo de Documento: Parte ou capítulo de livro
• Idioma: Inglês

Descrição

The decision on the most appropriate procedure to provide to the patients the best healthcare possible is a critical and complex task in Intensive Care Units (ICU). Clinical Decision Support Systems (CDSS) should deal with huge amounts of data and online monitoring, analyzing numerous parameters and providing outputs in a short real-time. Although the advances attained in this area of knowledge new challenges should be taken into account in future CDSS developments, principally in ICUs environments. The next generation of CDSS will be pervasive and ubiquitous providing the doctors with the appropriate services and information in order to support decisions regardless the time or the local where they are. Consequently new requirements arise namely the privacy of data and the security in data access. This paper will present a pervasive perspective of the decision making process in the context of INTCare system, an intelligent decision support system for intensive medicine. Three scenarios are explored using data mining models continuously assessed and optimized. Some preliminary results are depicted and discussed.