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Deep Survival Analysis

Deep Survival Analysis

6 August 2016
Rajesh Ranganath
A. Perotte
Noémie Elhadad
David M. Blei
ArXivPDFHTML

Papers citing "Deep Survival Analysis"

28 / 28 papers shown
Title
MixEHR-SurG: a joint proportional hazard and guided topic model for
  inferring mortality-associated topics from electronic health records
MixEHR-SurG: a joint proportional hazard and guided topic model for inferring mortality-associated topics from electronic health records
Yixuan Li
Archer Y. Yang
Ariane Marelli
Yue Li
19
2
0
20 Dec 2023
Explainable Predictive Maintenance
Explainable Predictive Maintenance
Sepideh Pashami
Sławomir Nowaczyk
Yuantao Fan
Jakub Jakubowski
Nuno Paiva
...
Bruno Veloso
M. Sayed-Mouchaweh
L. Rajaoarisoa
Grzegorz J. Nalepa
João Gama
32
8
0
08 Jun 2023
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
Alexander Norcliffe
B. Cebere
F. Imrie
Pietro Lio
M. Schaar
SyDa
44
14
0
24 Feb 2023
Deep Clustering Survival Machines with Interpretable Expert
  Distributions
Deep Clustering Survival Machines with Interpretable Expert Distributions
Bo-Jian Hou
Hongming Li
Zhicheng Jiao
Zhen Zhou
Hao Zheng
Yong-Xian Fan
38
3
0
27 Jan 2023
Deep conditional transformation models for survival analysis
Deep conditional transformation models for survival analysis
Gabriele Campanella
Lucas Kook
I. Häggström
Torsten Hothorn
Thomas J. Fuchs
21
2
0
20 Oct 2022
Survival Mixture Density Networks
Survival Mixture Density Networks
Xintian Han
Mark Goldstein
Rajesh Ranganath
28
5
0
23 Aug 2022
auton-survival: an Open-Source Package for Regression, Counterfactual
  Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data
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
53
21
0
15 Apr 2022
Counterfactual Phenotyping with Censored Time-to-Events
Counterfactual Phenotyping with Censored Time-to-Events
Chirag Nagpal
Mononito Goswami
K. Dufendach
A. Dubrawski
CML
30
27
0
22 Feb 2022
Inverse-Weighted Survival Games
Inverse-Weighted Survival Games
Xintian Han
Mark Goldstein
A. Puli
Thomas Wies
A. Perotte
Rajesh Ranganath
OffRL
19
11
0
16 Nov 2021
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event
  Data
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
Alicia Curth
Changhee Lee
M. Schaar
CML
30
29
0
26 Oct 2021
A Deep Variational Approach to Clustering Survival Data
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
24
29
0
10 Jun 2021
Survival Regression with Proper Scoring Rules and Monotonic Neural
  Networks
Survival Regression with Proper Scoring Rules and Monotonic Neural Networks
David Rindt
Robert Hu
D. Steinsaltz
Dino Sejdinovic
26
35
0
26 Mar 2021
X-CAL: Explicit Calibration for Survival Analysis
X-CAL: Explicit Calibration for Survival Analysis
Mark Goldstein
Xintian Han
A. Puli
A. Perotte
Rajesh Ranganath
36
37
0
13 Jan 2021
Semi-Structured Deep Piecewise Exponential Models
Semi-Structured Deep Piecewise Exponential Models
Philipp Kopper
Sebastian Polsterl
Christian Wachinger
B. Bischl
Andreas Bender
David Rügamer
27
21
0
11 Nov 2020
Counterfactual explanation of machine learning survival models
Counterfactual explanation of machine learning survival models
M. Kovalev
Lev V. Utkin
CML
OffRL
27
19
0
26 Jun 2020
Temporal Phenotyping using Deep Predictive Clustering of Disease
  Progression
Temporal Phenotyping using Deep Predictive Clustering of Disease Progression
Changhee Lee
M. Schaar
OOD
24
53
0
15 Jun 2020
Deep Survival Machines: Fully Parametric Survival Regression and
  Representation Learning for Censored Data with Competing Risks
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks
Chirag Nagpal
Xinyu Li
A. Dubrawski
OOD
21
119
0
02 Mar 2020
Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error
  Bounds and Strong Consistency Rates
Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates
George H. Chen
36
15
0
13 May 2019
Deep Landscape Forecasting for Real-time Bidding Advertising
Deep Landscape Forecasting for Real-time Bidding Advertising
Kan Ren
Jiarui Qin
Lei Zheng
Zhengyu Yang
Weinan Zhang
Yong Yu
OOD
30
37
0
07 May 2019
Deep Convolutional Neural Networks for Imaging Data Based Survival
  Analysis of Rectal Cancer
Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer
Hongming Li
P. Boimel
James Janopaul-Naylor
H. Zhong
Ying Xiao
E. Ben-Josef
Yong-Xian Fan
35
46
0
05 Jan 2019
A weighted random survival forest
A weighted random survival forest
Lev V. Utkin
A. Konstantinov
V. Chukanov
M. V. Kots
M. Ryabinin
A. Meldo
16
40
0
01 Jan 2019
Prediction of New Onset Diabetes after Liver Transplant
Angeline Yasodhara
M. Bhat
Anna Goldenberg
20
1
0
03 Dec 2018
Effective Ways to Build and Evaluate Individual Survival Distributions
Effective Ways to Build and Evaluate Individual Survival Distributions
Humza Haider
B. Hoehn
Sarah Davis
Russell Greiner
30
104
0
28 Nov 2018
Deep Recurrent Survival Analysis
Deep Recurrent Survival Analysis
Kan Ren
Jiarui Qin
Lei Zheng
Zhengyu Yang
Weinan Zhang
Lin Qiu
Yong Yu
28
129
0
07 Sep 2018
Countdown Regression: Sharp and Calibrated Survival Predictions
Countdown Regression: Sharp and Calibrated Survival Predictions
Anand Avati
Tony Duan
Sharon Zhou
Kenneth Jung
N. Shah
A. Ng
22
54
0
21 Jun 2018
Disease-Atlas: Navigating Disease Trajectories with Deep Learning
Disease-Atlas: Navigating Disease Trajectories with Deep Learning
Bryan Lim
M. Schaar
22
32
0
27 Mar 2018
Multitask learning and benchmarking with clinical time series data
Multitask learning and benchmarking with clinical time series data
Hrayr Harutyunyan
Hrant Khachatrian
David C. Kale
Greg Ver Steeg
Aram Galstyan
OOD
AI4TS
32
857
0
22 Mar 2017
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
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
119
1,233
0
02 Jun 2016
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