Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction

30 September 2022

Papers citing "Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction"

4 / 4 papers shown

Title
SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the Survival Models Lev V. Utkin Danila Eremenko A. Konstantinov 23 0 0 11 Dec 2023
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator Lev V. Utkin Danila Eremenko A. Konstantinov 30 4 0 07 Aug 2023
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network Jared Katzman Uri Shaham Jonathan Bates A. Cloninger Tingting Jiang Y. Kluger BDL CML OOD 112 1,231 0 02 Jun 2016
High-dimensional variable selection for Cox's proportional hazards model Jianqing Fan Yang Feng Yichao Wu 68 159 0 17 Feb 2010