GNN-surv: Discrete-Time Survival Prediction Using Graph Neural Networks

Survival prediction models play a key role in patient prognosis and personalized treatment. However, their accuracy can be improved by incorporating patient similarity networks, which uncover complex data patterns. Our study uses Graph Neural Networks (GNNs) to enhance discrete-time survival predict...

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Detalles Bibliográficos
Autor principal: Kim, So Yeon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525217/
https://www.ncbi.nlm.nih.gov/pubmed/37760148
http://dx.doi.org/10.3390/bioengineering10091046

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525217/
https://www.ncbi.nlm.nih.gov/pubmed/37760148
http://dx.doi.org/10.3390/bioengineering10091046

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