Results 251 to 260 of about 3,284,626 (292)

Using Bayesian Networks to Predict Urgent Care Visits in Patients Receiving Systemic Therapy for Non-Small Cell Lung Cancer. [PDF]

JCO Clin Cancer Inform
Gonzalez BD, Li X, Gudenkauf LM, Pullukkara JJ, Oswald LB, Hoogland AI, Le T, El Naqa I, Saltos AN, Haura EB, Luo Y.   +10 more
europepmc   +1 more source

General framework of nonlinear factor interactions using bayesian networks for risk analysis applied to road safety and public health. [PDF]

Sci Rep
Carrodano C.
europepmc   +1 more source

Sensitivity analysis of unsafe behaviors in the spinning and weaving factories: Exploring the association with burnout and resilience using Bayesian networks. [PDF]

PLoS One
Azimi R, Al Sulaie S, Yazdanirad S, Khoshakhlagh AH, Cousins R, Kazemian F.   +5 more
europepmc   +1 more source

Modelling Interventions to Combat Antibacterial Resistance in East Africa Using Causal Bayesian Networks

Ke X, Smith V, Mshana SE, Asiimwe B, Neema S, Kiiru J, Mushi MF, Mmbaga BT, Mwanga JR, Kibiki G, Stelling J, Gillespie SH, Green DL, Benvari S, Sabiiti W, Kesby M, Lynch AG, Sandeman A, Sloan DJ, Holden MT, Keenan K, HATUA Consortium.   +21 more
europepmc   +1 more source

Bayesian Networks in Reliability [PDF]

Reliability Engineering and System Safety, 2007
Over the last decade, Bayesian networks (BNs) have become a popular tool for modelling many kinds of statistical problems. We have also seen a growing interest for using BNs in the reliability analysis community. In this paper we will discuss the properties of the modelling framework that make BNs particularly well suited for reliability applications ...
Helge Langseth, Luigi Portinale
exaly   +5 more sources

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Bayesian Networks

Wiley Interdisciplinary Reviews: Computational Statistics, 2009
AbstractBayesian networks are defined, and the chain rule for Bayesian networks is stated. Outlines of algorithms provided: inference in Bayesian networks, sensitivity analysis, EM for parameter learning, and learning structure. Copyright © 2009 John Wiley & Sons, Inc.This article is categorized under:Statistical and Graphical Methods of Data ...
Finn V Jensen
exaly   +5 more sources

Bayesian networks

Communications of the ACM, 1995
This brief tutorial on Bayesian networks serves to introduce readers to some of the concepts, terminology, and notation employed by articles in this special section. In a Bayesian network, a variable takes on values from a collection of mutually exclusive and collective exhaustive states.
David Heckerman, Michael P. Wellman
openaire   +1 more source

Bayesian networks

Neurocomputing, 2010
What are Bayesian networks and why are their applications growing across all fields?
openaire   +3 more sources