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Fig. 1 | BMC Medical Research Methodology

Fig. 1

From: Comparison of State-of-the-Art Neural Network Survival Models with the Pooled Cohort Equations for Cardiovascular Disease Risk Prediction

Fig. 1

Frameworks for neural network survival models. The frameworks of Deepsurv/Cox-nnet and Nnet-survival are shown in A, B respectively. In Fig. 1A, the Deepsurv and Cox-nnet model output \({h}_{w}\left({{\varvec{X}}}_{i}\right)\) which is used to replace the log risk \({{\varvec{X}}}_{i}^{T}{\varvec{\beta}}\) in the Cox model. In Fig. 1B, the output layers generate \({h}_{j}^{i}\) which is the hazard for individual i at time j

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BMC Medical Research Methodology

ISSN: 1471-2288

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