Paper Info
Title
Developing an Implementation through a Modeling of the Database for Cardiovascular Monitoring
Abstract
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.
Year
DOI
Venue
2009
10.1109/ISDA.2009.129
ISDA
Keywords
Field
DocType
clinical management,clinical guideline,stratified level,summary clinical information,primary health care,major cardiovascular risk factor,cardiovascular risk,cardiovascular monitoring,outpatient hospital,entity-relationship diagrams,cardiovascular disease,health care,intelligent systems,data mining,entity relationship diagram,health,patient monitoring,entity relationship,cardiovascular system
Health care,Data mining,Diabetes mellitus,Primary health care,Cardiovascular monitoring,Dyslipidemia,Computer science,Remote patient monitoring,Entity relationship modelling,Intensive care medicine,Artificial intelligence,Machine learning
Conference
ISSN
Citations 
PageRank 
2164-7143
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Hugo Bulegon101.01
Silvio Bortoleto222.00
Angelmar Constantino Roman300.68