Comparative prevention potential of 10 mouthwashes on intolerable oral mucositis in cancer patients: A Bayesian network analysis

Oral Oncology ◽  
2020 ◽  
Vol 107 ◽  
pp. 104751
Author(s):  
Xu Zhang ◽  
Di Sun ◽  
Nan Qin ◽  
Meishuo Liu ◽  
Jing Zhang ◽  
...  
Keyword(s):  
Network Analysis ◽  
Bayesian Network ◽  
Cancer Patients ◽  
Oral Mucositis ◽  
Prevention Potential

How influential factors affect aviation networks: A Bayesian network analysis

2021 ◽  
Vol 91 ◽  
pp. 101995
Author(s):  
Yue Wang ◽  
Collin Wai Hung Wong ◽  
Tommy King-Yin Cheung ◽  
Edmund Yangming Wu
Keyword(s):  
Network Analysis ◽  
Bayesian Network ◽  
Influential Factors

scholarly journals Bayesian Network Structure and Predictability of Autistic Traits

2020 ◽  
pp. 003329412097815
Author(s):  
Giovanni Briganti ◽  
Donald R. Williams ◽  
Joris Mulder ◽  
Paul Linkowski
Keyword(s):  
Sex Differences ◽  
Network Analysis ◽  
Bayesian Network ◽  
Network Structure ◽  
Network Connectivity ◽  
Autistic Traits ◽  
Data Set ◽  
Conditional Dependence ◽  
Bayesian Network Structure ◽  
Male Subjects

The aim of this work is to explore the construct of autistic traits through the lens of network analysis with recently introduced Bayesian methods. A conditional dependence network structure was estimated from a data set composed of 649 university students that completed an autistic traits questionnaire. The connectedness of the network is also explored, as well as sex differences among female and male subjects in regard to network connectivity. The strongest connections in the network are found between items that measure similar autistic traits. Traits related to social skills are the most interconnected items in the network. Sex differences are found between female and male subjects. The Bayesian network analysis offers new insight on the connectivity of autistic traits as well as confirms several findings in the autism literature.

A Bayesian network analysis of workplace accidents caused by falls from a height

2009 ◽  
Vol 47 (2) ◽  
pp. 206-214 ◽  
Author(s):  
J.E. Martín ◽  
T. Rivas ◽  
J.M. Matías ◽  
J. Taboada ◽  
A. Argüelles
Keyword(s):  
Network Analysis ◽  
Bayesian Network ◽  
Workplace Accidents
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