Title
Learning dynamic Bayesian networks from time-dependent and time-independent data: Unraveling disease progression in Amyotrophic Lateral Sclerosis
Abstract
•Dynamic Bayesian networks with time-dependent and time-independent variables.•Graphical user interface for learning dynamic Bayesian networks.•Prediction of the progression of ALS patients before and after NIV application.•Relative influence of every prognostic indicator in each appointment of ALS patients.
Year
DOI
Venue
2021
10.1016/j.jbi.2021.103730
Journal of Biomedical Informatics
Keywords
DocType
Volume
ALS,ALS-FRS,ALS-FRS-R,NIV,PGM,BN,DBN,sdtDBN,LL,MDL
Journal
117
ISSN
Citations 
PageRank 
1532-0464
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Tiago Leão100.34
Sara C. Madeira2124266.91
Marta Gromicho310.70
Mamede Carvalho400.34
Alexandra M. Carvalho522316.39