Estimation of Conditional Mixture Weibull Distribution with Right Censored Data Using Neural Network for Time-to-Event Analysis

@article{Bennis2020EstimationOC,
  title={Estimation of Conditional Mixture Weibull Distribution with Right Censored Data Using Neural Network for Time-to-Event Analysis},
  author={A.-C. Bennis and Sandrine Mouysset and Mathieu Serrurier},
  journal={Advances in Knowledge Discovery and Data Mining},
  year={2020},
  volume={12084},
  pages={687 - 698}
}
In this paper, we consider survival analysis with right-censored data which is a common situation in predictive maintenance and health field. We propose a model based on the estimation of two-parameter Weibull distribution conditionally to the features. To achieve this result, we describe a neural network architecture and the associated loss functions that takes into account the right-censored data. We extend the approach to a finite mixture of two-parameter Weibull distributions. We first… 
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