Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/23558

TitleReal-time decision support in intensive medicine : an intelligent approach for monitoring data quality
Author(s)Portela, Filipe
Santos, Manuel Filipe
Machado, José Manuel
Abelha, António
Silva, Álvaro
Rua, Fernando
KeywordsIntensive care
Data quality
Real-time
Intelligent decision support
INTCare
Issue dateMar-2013
PublisherEtpublishing
JournalJournal of Medical and Bioengineering
Abstract(s)Intensive Medicine is an area where big amounts of data are generated every day. The process to obtain knowledge from these data is extremely difficult and sometimes dangerous. The main obstacles of this process are the number of data collected manually and the quality of the data collected automatically. Information quality is a major constrain to the success of Intelligent Decision Support Systems (IDSS). This is the case of INTCare an IDSS which operates in real-time. Data quality needs to be ensured in a continuous way. The quality must be assured essentially in the data acquisition process and in the evaluation of the results obtained from data mining models. To automate this process a set of intelligent agents have been developed to perform a set of data quality tasks. This paper explores the data quality issues in IDSS and presents an intelligent approach for monitoring the data quality in INTCare system.
TypeArticle
URIhttp://hdl.handle.net/1822/23558
ISSN2301-3796
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals
DI/CCTC - Artigos (papers)

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