An online framework for survival analysis: reframing Cox proportional hazards model for large data sets and neural networks
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In many biomedical applications, outcome is measured as a "time-to-event" (e.g., disease progression or death). To assess the connection between features of a patient and this outcome, it is common to assume a proportional hazards model and fit a proportional ... ...
