A Scalable Discrete-Time Survival Model for Neural Networks

2 May 2018

Papers citing "A Scalable Discrete-Time Survival Model for Neural Networks"

11 / 11 papers shown

Title
Extending Cox Proportional Hazards Model with Symbolic Non-Linear Log-Risk Functions for Survival Analysis Jiaxiang Cheng Guoqiang Hu 31 0 0 06 Apr 2025
GRU-D-Weibull: A Novel Real-Time Individualized Endpoint Prediction Xiaoyang Ruan Liwei Wang C. Thongprayoon W. Cheungpasitporn Hongfang Liu OOD 13 2 0 14 Aug 2023
Case-Base Neural Networks: survival analysis with time-varying, higher-order interactions Jesse Islam M. Turgeon R. Sladek S. Bhatnagar CML 19 0 0 16 Jan 2023
EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data Elise Dumas A. Hamy S. Houzard Eva Hernandez A. Toussaint ... M. Saint-Ghislain B. Grandal Eric Daoud F. Reyal Chloé-Agathe Azencott OOD 11 2 0 15 Nov 2022
Survival Mixture Density Networks Xintian Han Mark Goldstein Rajesh Ranganath 21 4 0 23 Aug 2022
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks Shunsuke Kitada Hitoshi Iyatomi Yoshifumi Seki 20 1 0 02 Apr 2022
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning Weicheng Zhu C. Fernandez‐Granda N. Razavian SSL 16 4 0 23 Mar 2022
BITES: Balanced Individual Treatment Effect for Survival data Stefan Schrod Andreas Schäfer S. Solbrig R. Lohmayer W. Gronwald P. Oefner T. Beissbarth Rainer Spang H. Zacharias Michael Altenbuchinger CML 15 22 0 05 Jan 2022
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP Jiaye Teng Zeren Tan Yang Yuan 16 13 0 08 Mar 2021
Dynamic prediction of time to event with survival curves Jie Zhu B. Gallego 25 2 0 26 Jan 2021
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 102 1,229 0 02 Jun 2016