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2009 Ninth International Conference on Intelligent Systems Design and Applications
Developing an Implementation through a Modeling of the Database for Cardiovascular Monitoring
Pisa, Italy
November 30-December 02
ISBN: 978-0-7695-3872-3
The Cardiovascular diseases are the most responsible for the deaths among adults in most of the world. Facilitate the clinical management in primary health care is essential to improve efficiency and to reduce morbidity and mortality. This article describes about a software focused on the management of major cardiovascular risk factors – CRF (diabetes, hypertension, dyslipidemia, smoking and others). After the registration and based in the clinical guidelines, the software can stratified levels of cardiovascular risk. According to the level of risk, provides summary clinical information for management and through the processing of the results of subsequent laboratory tests, monitor the targets for therapies, according to the level of achievement of results, indicates maintenance or intensification of care. There are described and evaluated other systems or outpatient hospital and use of Entity-Relationship Diagrams to subsidized the development of software.
Index Terms:
Entity-Relationship Data-Mining, Health
Citation:
Hugo Bulegon, Silvio Bortoleto, Angelmar Constantino Roman, "Developing an Implementation through a Modeling of the Database for Cardiovascular Monitoring," isda, pp.1156-1160, 2009 Ninth International Conference on Intelligent Systems Design and Applications, 2009
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