A scalable discrete-time survival model for neural networks
There is currently great interest in applying neural networks to prediction tasks in medicine. It is important for predictive models to be able to use survival data, where each patient has a known follow-up time and event/censoring indicator. This avoids information loss when training the model and...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2019-01-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/6257.pdf |