A Scalable Discrete-Time Survival Model for Neural Networks

2 May 2018

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

19 / 19 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
Interpretable Prediction and Feature Selection for Survival Analysis Mike Van Ness Madeleine Udell 39 2 0 23 Apr 2024
GRU-D-Weibull: A Novel Real-Time Individualized Endpoint Prediction Xiaoyang Ruan Liwei Wang C. Thongprayoon W. Cheungpasitporn Hongfang Liu OOD 15 2 0 14 Aug 2023
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics Alberto Archetti F. Ieva Matteo Matteucci FedML 19 10 0 04 Aug 2023
Case-Base Neural Networks: survival analysis with time-varying, higher-order interactions Jesse Islam M. Turgeon R. Sladek S. Bhatnagar CML 21 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 13 2 0 15 Nov 2022
Survival Mixture Density Networks Xintian Han Mark Goldstein Rajesh Ranganath 28 5 0 23 Aug 2022
Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks Shunsuke Kitada Hitoshi Iyatomi Yoshifumi Seki 28 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 17 22 0 05 Jan 2022
Inverse-Weighted Survival Games Xintian Han Mark Goldstein A. Puli Thomas Wies A. Perotte Rajesh Ranganath OffRL 11 11 0 16 Nov 2021
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Alicia Curth Changhee Lee M. Schaar CML 19 29 0 26 Oct 2021
Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation Tobias Weber Michael Ingrisch Bernd Bischl David Rügamer 17 1 0 21 Oct 2021
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT Mingyuan Meng B. Gu Lei Bi Shaoli Song D. Feng Jinman Kim MedIm 19 38 0 16 Sep 2021
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP Jiaye Teng Zeren Tan Yang Yuan 26 13 0 08 Mar 2021
Dynamic prediction of time to event with survival curves Jie Zhu B. Gallego 27 2 0 26 Jan 2021
WRSE -- a non-parametric weighted-resolution ensemble for predicting individual survival distributions in the ICU Jonathan Heitz Joanna Ficek M. Faltys T. Merz Gunnar Rätsch Matthias Huser 4 1 0 02 Nov 2020
CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging Yucheng Zhang Edrise M. Lobo-Mueller P. Karanicolas S. Gallinger M. Haider Farzad Khalvati MedIm 8 68 0 25 Jun 2019
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 115 1,231 0 02 Jun 2016