A novel dynamic Bayesian network approach for data mining and survival data analysis

BACKGROUND: Censorship is the primary challenge in survival modeling, especially in human health studies. The classical methods have been limited by applications like Kaplan–Meier or restricted assumptions like the Cox regression model. On the other hand, Machine learning algorithms commonly rely on...

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Detalles Bibliográficos
Autores principales: Sheidaei, Ali, Foroushani, Abbas Rahimi, Gohari, Kimiya, Zeraati, Hojjat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503243/
https://www.ncbi.nlm.nih.gov/pubmed/36138394
http://dx.doi.org/10.1186/s12911-022-02000-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503243/
https://www.ncbi.nlm.nih.gov/pubmed/36138394
http://dx.doi.org/10.1186/s12911-022-02000-7

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