A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions

Bayesian networks are powerful statistical models to study the probabilistic relationships among sets of random variables with significant applications in disease modeling and prediction. Here, we propose a continuous time Bayesian network with conditional dependencies represented as regularized Poi...

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Detalles Bibliográficos
Autores principales: FARUQUI, SYED HASIB AKHTER, ALAEDDINI, ADEL, WANG, JING, JARAMILLO, CARLOS A., PUGH, MARY JO
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8975131/
https://www.ncbi.nlm.nih.gov/pubmed/35371895
http://dx.doi.org/10.1109/access.2021.3122912

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8975131/
https://www.ncbi.nlm.nih.gov/pubmed/35371895
http://dx.doi.org/10.1109/access.2021.3122912

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