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Machine Learning for Survival Analysis: A Survey

Machine Learning for Survival Analysis: A Survey

15 August 2017
Ping Wang
Yan Li
Chandan K. Reddy
    CML
ArXiv (abs)PDFHTML

Papers citing "Machine Learning for Survival Analysis: A Survey"

6 / 6 papers shown
Title
Extending Cox Proportional Hazards Model with Symbolic Non-Linear Log-Risk Functions for Survival Analysis
Extending Cox Proportional Hazards Model with Symbolic Non-Linear Log-Risk Functions for Survival Analysis
Jiaxiang Cheng
Guoqiang Hu
168
0
0
06 Apr 2025
Federated Neural Nonparametric Point Processes
Federated Neural Nonparametric Point Processes
Hui Chen
Hengyu Liu
Hengyu Liu
Xuhui Fan
Zhilin Zhao
Feng Zhou
Christopher J. Quinn
Longbing Cao
FedML
80
0
0
08 Oct 2024
FPBoost: Fully Parametric Gradient Boosting for Survival Analysis
FPBoost: Fully Parametric Gradient Boosting for Survival Analysis
Alberto Archetti
Eugenio Lomurno
Diego Piccinotti
Matteo Matteucci
196
2
0
20 Sep 2024
SurvLIME: A method for explaining machine learning survival models
SurvLIME: A method for explaining machine learning survival models
M. Kovalev
Lev V. Utkin
E. Kasimov
262
90
0
18 Mar 2020
Deep Survival Analysis
Deep Survival Analysis
Rajesh Ranganath
A. Perotte
Noémie Elhadad
David M. Blei
165
199
0
06 Aug 2016
Structured sparsity through convex optimization
Structured sparsity through convex optimization
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
241
324
0
12 Sep 2011
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