Skip to main content
CISTI'2017 - 12ª Conferência Ibérica de Sistemas e Tecnologias de Informação

Full Program »

Application of Semiotic Principles and Computational Intelligence to Ressignify ICU Patient Data

Intensive Care Units allow patients to recover through medical procedures and continuous care provided by nursing professionals. However, the large number of patients produces a huge amount of raw data that needs to be managed, and imposes the use of tools that can provide assistance health care professionals. In this way, Decision Support Systems appear as an alternative capable of generating relevant information from available data and assisting in the decision process. In addition, the use of Semiotics in conjunction with Intelligent Computing is thought to allow the design of a computational tool that might work in complex domains, revealing meaning to patient statuses for decisions to be made. In view of the foregoing, this article addresses preliminary ideas regarding a proposal involving the elements described above in order to provide appropriate diagnoses.

Author(s):

Geraldo Barros    
Universidade de Pernambuco
Brazil

Fernando Neto    
Universidade de Pernambuco
Brazil

 

Powered by OpenConf®
Copyright ©2002-2016 Zakon Group LLC