Probabilistic graphic models applied to identification of diseases

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 ca...

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Detalles Bibliográficos
Autores principales: Sato, Renato Cesar, Sato, Graziela Tiemy Kajita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Instituto de Ensino e Pesquisa Albert Einstein 2015
Materias:
Reviewing Basic Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943832/
https://www.ncbi.nlm.nih.gov/pubmed/26154555
http://dx.doi.org/10.1590/S1679-45082015RB3121
Descripción
Sumario: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.

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