Academic Journals Database
Disseminating quality controlled scientific knowledge

Modelo híbrido para el diagnóstico de enfermedades cardiovasculares basado en inteligencia artificial

ADD TO MY LIST
 
Author(s): Guillermo Roberto Salarte Martínez | Yanci Viviana Castro Bermúdez

Journal: Tecnura
ISSN 0123-921X

Volume: 16;
Issue: 33;
Start page: 35;
Date: 2012;
Original page

Keywords: databases | diagnosis | disease | Bayesian networks

ABSTRACT
The present work pertains in the field of bioinformatics, particularly in the field data mining using Bayesian networks and decision trees. The study also assesses the usefulness of a Bayesian methodology when making medical predictions and diagnosis of non-trivial diseases (cardiovascular). Bayesian networks are used as graphic representations of previous knowledge, and also reasoning methods are applied to probabilistic models. When classifying the data from the database, problems still arise, thus the structure obtained might exhibit an unnecessary complexity degree which makes it difficult to represent and interpret knowledge as well as reducing efficiency in the inference process.
Save time & money - Smart Internet Solutions     

Tango Rapperswil
Tango Rapperswil