Probabilistic graphic models applied to identification of diseases

ABSTRACT Decision-making is fundamental when making diagnosis or choosing treatment. The broad dissemination of computed systems and databases allows systematization of part of decisions through artificial intelligence. In this text, we present basic use of probabilistic graphic models as tools to a...

Full description

Bibliographic Details
Main Authors: Renato Cesar Sato, Graziela Tiemy Kajita Sato
Format: Article
Language:English
Published: Instituto Israelita de Ensino e Pesquisa Albert Einstein
Series:Einstein (São Paulo)
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082015000200028&lng=en&tlng=en
Description
Summary:ABSTRACT Decision-making is fundamental when making diagnosis or choosing treatment. The broad dissemination of computed systems and databases allows systematization of part of decisions through artificial intelligence. In this text, we present basic use of probabilistic graphic models as tools to analyze causality in health conditions. This method has been used to make diagnosis of Alzheimer´s disease, sleep apnea and heart diseases.
ISSN:2317-6385