Affiliation:
1. Universidade Federal de São Paulo, Brazil
2. Centro Técnico Aeroespacial, Brazil
Abstract
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.
Reference13 articles.
1. Probabilistic graphical models: principles and techniques;Koller D,2009
2. Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare;Velikova M;Int J Approx Reasoning,2014
3. Factor analysis for the adoption of nuclear technology in diagnosis and treatment of chronic diseases;Sato RC;einstein (São Paulo),2012
4. Encyclopaedia of occupational health and safety;Enderlein G,1998
5. Bayesian methods in biomedical data analysis;Sarkar IN,2013
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