Bayesian Networks for the Diagnosis and Prognosis of Diseases: A Scoping Review

Bayesian networks (BNs) are probabilistic graphical models that leverage Bayes’ theorem to portray dependencies and cause-and-effect relationships between variables. These networks have gained prominence in the field of health sciences, particularly in diagnostic processes, by allowing the integrati...

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Bibliographic Details

Published in:	Machine Learning and Knowledge Extraction
Main Authors:	Kristina Polotskaya, Carlos S. Muñoz-Valencia, Alejandro Rabasa, Jose A. Quesada-Rico, Domingo Orozco-Beltrán, Xavier Barber
Format:	Article
Language:	English
Published:	MDPI AG 2024-06-01
Subjects:	Bayesian networks disease diagnosis disease prognosis directed acyclic graph Bayesian classifier scoping review
Online Access:	https://www.mdpi.com/2504-4990/6/2/58