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Time-to-Event Prediction with Neural Networks and Cox Regression

1 July 2019

Håvard Kvamme

Ørnulf Borgan

Ida Scheel

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Papers citing "Time-to-Event Prediction with Neural Networks and Cox Regression"

50 / 125 papers shown

Title
Proper Scoring Rules for Survival Analysis H. Yanagisawa 57 6 0 01 May 2023
Diffsurv: Differentiable sorting for censored time-to-event data A. Vauvelle Benjamin Wild A. Cakiroglu Roland Eils Spiros C. Denaxas 107 0 0 26 Apr 2023
Modelling customer churn for the retail industry in a deep learning based sequential framework Juan Pablo Equihua Henrik Nordmark Maged Ali B. Lausen 40 0 0 02 Apr 2023
Une comparaison des algorithmes dápprentissage pour la survie avec données manquantes Paul Dufossé S. Benzekry 56 0 0 23 Mar 2023
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions Ruofan Wu Jiawei Qiao Mingzhe Wu Wen Yu M. Zheng Tengfei Liu Tianyi Zhang Weiqiang Wang 38 1 0 18 Mar 2023
A Statistical Learning Take on the Concordance Index for Survival Analysis Alex Nowak-Vila K. Elgui Geneviève Robin 131 1 0 23 Feb 2023
SurvLIMEpy: A Python package implementing SurvLIME Cristian Pachón-García Carlos Hernández-Pérez Pedro Delicado Verónica Vilaplana GP 82 10 0 21 Feb 2023
Individual Fairness under Uncertainty Wenbin Zhang Zichong Wang Juyong Kim Cheng Cheng Thomas Oommen Pradeep Ravikumar Jeremy C. Weiss FaML 89 12 0 16 Feb 2023
Time-to-event modeling of subreddits transitions to r/SuicideWatch Xueying Liu S. Fang G. Mohler J. Carlson Yunyu Xiao 29 2 0 13 Feb 2023
Federated Survival Forests Alberto Archetti Matteo Matteucci FedML 88 8 0 06 Feb 2023
Fair Decision-making Under Uncertainty Wenbin Zhang Jeremy C. Weiss 106 38 0 29 Jan 2023
Heterogeneous Datasets for Federated Survival Analysis Simulation Alberto Archetti Eugenio Lomurno Francesco Lattari André Martin Matteo Matteucci FedML 76 9 0 28 Jan 2023
Deep Clustering Survival Machines with Interpretable Expert Distributions Bo-Jian Hou Hongming Li Zhicheng Jiao Zhen Zhou Hao Zheng Yong-Xian Fan 64 4 0 27 Jan 2023
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics Shu Hu George H. Chen 77 14 0 18 Nov 2022
Variable selection for nonlinear Cox regression model via deep learning Kexuan Li 60 6 0 17 Nov 2022
Extending the Neural Additive Model for Survival Analysis with EHR Data M. Peroni Marharyta Kurban Sun-Young Yang Young Sun Kim H. Kang J. Song 134 6 0 15 Nov 2022
Multimodal Learning for Non-small Cell Lung Cancer Prognosis Yujiao Wu Yaxiong Wang Xiaoshui Huang Fan Yang Saiguang Ling Steven W. Su 27 2 0 07 Nov 2022
A copula-based boosting model for time-to-event prediction with dependent censoring A. Midtfjord R. D. Bin A. Huseby 39 1 0 10 Oct 2022
SurvSHAP(t): Time-dependent explanations of machine learning survival models Mateusz Krzyzinski Mikolaj Spytek Hubert Baniecki P. Biecek FAtt AI4TS 87 78 0 23 Aug 2022
Survival Mixture Density Networks Xintian Han Mark Goldstein Rajesh Ranganath 82 6 0 23 Aug 2022
FastCPH: Efficient Survival Analysis for Neural Networks Xuelin Yang L. Abraham Sejin Kim P. Smirnov Feng Ruan B. Haibe-Kains Robert Tibshirani 27 4 0 21 Aug 2022
Deep Learning-Based Discrete Calibrated Survival Prediction Patrick Fuhlert Anne Ernst Esther Dietrich Fabian Westhaeusser K. Kloiber Stefan Bonn OOD 72 2 0 17 Aug 2022
KL-divergence Based Deep Learning for Discrete Time Model Li Liu Xiangeng Fang Di Wang Weijing Tang Kevin He 30 1 0 10 Aug 2022
FedPseudo: Pseudo value-based Deep Learning Models for Federated Survival Analysis Md Mahmudur Rahman S. Purushotham OOD FedML 63 7 0 12 Jul 2022
A Federated Cox Model with Non-Proportional Hazards Dekai Zhang Francesca Toni Matthew Williams FedML 105 9 0 11 Jul 2022
Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data Bingqing Hu B. Nan CML 8 4 0 06 Jul 2022
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee George H. Chen 458 3 0 21 Jun 2022
Hazard Gradient Penalty for Survival Analysis Seungjae Jung KyungHyun Kim 50 0 0 27 May 2022
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data Chirag Nagpal Willa Potosnak A. Dubrawski CML OOD 128 24 0 15 Apr 2022
Distributed Evolution Strategies for Black-box Stochastic Optimization Xiaoyu He Zibin Zheng Chuan Chen Yuren Zhou Chuan Luo Qingwei Lin 51 5 0 09 Apr 2022
Longitudinal Fairness with Censorship Wenbin Zhang Jeremy C. Weiss 89 41 0 30 Mar 2022
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data Ahmed H. Shahin Joseph Jacob Daniel C. Alexander D. Barber 47 6 0 21 Mar 2022
SurvSet: An open-source time-to-event dataset repository Erik Drysdale GP 116 13 0 07 Mar 2022
The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models Abdallah Alabdallah Mattias Ohlsson Sepideh Pashami Thorsteinn Rögnvaldsson CML 50 20 0 28 Feb 2022
Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks F. Yousefirizi I. Janzen Natalia Dubljevic Yueh-En Liu Chloe Hill Calum MacAulay Arman Rahmim 79 5 0 16 Feb 2022
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis Philipp Kopper S. Wiegrebe Bernd Bischl Andreas Bender David Rügamer 54 18 0 12 Feb 2022
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data Shadi Rahimian Raouf Kerkouche I. Kurth Mario Fritz FedML 70 11 0 08 Feb 2022
Automated causal inference in application to randomized controlled clinical trials Ji Q. Wu N. Horeweg M. de Bruyn R. Nout I. Jürgenliemk-Schulz ... H. Nijman V. Smit T. Bosse C. Creutzberg V. Koelzer CML 62 14 0 15 Jan 2022
Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures R. Sonabend Andreas Bender Sandra Jeanne Vollmer 23 15 0 09 Dec 2021
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network Esther Dietrich Patrick Fuhlert Anne Ernst G. Sauter M. Lennartz H. Stiehl Marina Zimmermann Stefan Bonn 89 4 0 26 Nov 2021
Inverse-Weighted Survival Games Xintian Han Mark Goldstein A. Puli Thomas Wies A. Perotte Rajesh Ranganath OffRL 152 12 0 16 Nov 2021
DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural Networks Anshujit Sharma Rahul Kukreja Ranjitha Prasad Shilpa Rao CML 22 0 0 02 Nov 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 100 252 0 01 Oct 2021
Survival Analysis with Graph-Based Regularization for Predictors Liyan Xie Xi He P. Keskinocak Yao Xie 53 0 0 29 Aug 2021
L1-regularized neural ranking for risk stratification and its application to prediction of time to distant metastasis in luminal node negative chemotherapy naïve breast cancer patients F. Minhas M. Toss N. Wahab E. Rakha Nasir M. Rajpoot 39 4 0 23 Aug 2021
Individual Survival Curves with Conditional Normalizing Flows Guillaume Ausset Tom Ciffreo François Portier Stéphan Clémenccon Timothée Papin 42 4 0 27 Jul 2021
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models Zhiliang Wu Yinchong Yang Peter A. Fasching Volker Tresp BDL 73 10 0 26 Jul 2021
DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysis Yujiao Wu Jie Ma Xiaoshui Huang S. Ling Steven W. Su 47 21 0 12 Jun 2021
A Deep Variational Approach to Clustering Survival Data Laura Manduchi Ricards Marcinkevics M. Massi Thomas Weikert Alexander Sauter ... F. Vasella M. Neidert M. Pfister Bram Stieltjes Julia E. Vogt 146 31 0 10 Jun 2021
Neural networks to predict survival from RNA-seq data in oncology Mathilde Sautreuil Sarah Lemler P. Cournède 20 0 0 18 May 2021