Survival prediction for patients with glioblastoma multiforme using a cox proportional hazards denoising autoencoder network

HIGHLIGHTS

  • who: Ting Yan from the University of Minho, Portugal Ahmedabad University, India have published the paper: Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network, in the Journal: (JOURNAL)
  • what: The authors used the concordance index (C-index) and the accuracy to evaluate the model`s performance. To assess the performance of the survival prediction model proposed in this study, its accuracy is compared with three methods: post hoc (Hermoza et_al, 2021), random forest regressor (RFR) (Agravat and Raval, 2019), and a survival prediction model using neural_networks (Wang et_al . . .

     

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