Deep survival learning for prognosis prediction in non-metastatic castration-resistant prostate cancer - PubMed
4 hours ago
- #Deep Learning
- #Prostate Cancer
- #Survival Analysis
- Deep learning models predict patient risk in non-metastatic castration-resistant prostate cancer (nmCRPC).
- The Weibull Time to Event RNN outperformed traditional Cox models when using EHR time-series data.
- Incorporating time-series information improved the performance of SurvTRACE, making it the top model.
- Early risk identification is crucial for optimal treatment planning in nmCRPC patients.