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- W3162122197 abstract "Survival analysis consists of studying the elapsed time until an event of interest, such as the death or recovery of a patient in medical studies. This work explores the potential of neural networks in survival analysis from clinical and RNA-seq data. If the neural network approach is not recent in survival analysis, methods were classically considered for low-dimensional input data. But with the emergence of high-throughput sequencing data, the number of covariates of interest has become very large, with new statistical issues to consider. We present and test a few recent neural network approaches for survival analysis adapted to high-dimensional inputs." @default.
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- W3162122197 date "2021-05-12" @default.
- W3162122197 modified "2023-10-17" @default.
- W3162122197 title "Neural networks to predict survival from RNA-seq data in oncology" @default.
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