Probabilistic graphic models applied to identification of diseases

Renato Cesar Sato, Graziela Tiemy Kajita Sato
2015 Einstein (São Paulo)  
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.
doi:10.1590/s1679-45082015rb3121 pmid:26154555 pmcid:PMC4943832 fatcat:wcuolty36nd6njrfo5buusbifm