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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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Bioengineering |
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| Online Access: | https://www.mdpi.com/2306-5354/10/9/1046 |