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Deep Recurrent Survival Analysis

Deep Recurrent Survival Analysis

7 September 2018
Kan Ren
Jiarui Qin
Lei Zheng
Zhengyu Yang
Weinan Zhang
Lin Qiu
Yong Yu
ArXivPDFHTML

Papers citing "Deep Recurrent Survival Analysis"

50 / 52 papers shown
Title
SurvBETA: Ensemble-Based Survival Models Using Beran Estimators and
  Several Attention Mechanisms
SurvBETA: Ensemble-Based Survival Models Using Beran Estimators and Several Attention Mechanisms
Lev V. Utkin
Semen P. Khomets
Vlada A. Efremenko
A. Konstantinov
71
0
0
10 Dec 2024
DNAMite: Interpretable Calibrated Survival Analysis with Discretized
  Additive Models
DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models
Mike Van Ness
Billy Block
Madeleine Udell
29
1
0
08 Nov 2024
Toward a Well-Calibrated Discrimination via Survival Outcome-Aware
  Contrastive Learning
Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning
Dongjoon Lee
Hyeryn Park
Changhee Lee
28
0
0
15 Oct 2024
Deep End-to-End Survival Analysis with Temporal Consistency
Deep End-to-End Survival Analysis with Temporal Consistency
Mariana Vargas Vieyra
Pascal Frossard
16
0
0
09 Oct 2024
CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance
  Survival Analysis
CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis
William Knottenbelt
Zeyu Gao
Rebecca Wray
Woody Zhidong Zhang
Jiashuai Liu
Mireia Crispin-Ortuzar
34
10
0
06 Sep 2024
Deep State-Space Generative Model For Correlated Time-to-Event
  Predictions
Deep State-Space Generative Model For Correlated Time-to-Event Predictions
Yuan Xue
Denny Zhou
Nan Du
Andrew M. Dai
Zhen Xu
Kun Zhang
Claire Cui
31
8
0
28 Jul 2024
SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU
  Networks
SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks
Xiaotong Sun
Peijie Qiu
Shengfan Zhang
OffRL
31
0
0
19 Jul 2024
Confidence Intervals and Simultaneous Confidence Bands Based on Deep
  Learning
Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning
Asaf Ben Arie
M. Gorfine
UQCV
28
0
0
20 Jun 2024
Interpretable Prediction and Feature Selection for Survival Analysis
Interpretable Prediction and Feature Selection for Survival Analysis
Mike Van Ness
Madeleine Udell
39
2
0
23 Apr 2024
TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model
TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model
Yue Wang
Tianfan Fu
Yinlong Xu
Zihan Ma
Hongxia Xu
Yingzhou Lu
Bang Du
Hong-Yan Gao
Jian Wu
LM&MA
50
27
0
01 Apr 2024
Dynamic Survival Analysis for Early Event Prediction
Dynamic Survival Analysis for Early Event Prediction
Hugo Yèche
Manuel Burger
Dinara Veshchezerova
Gunnar Rätsch
29
2
0
19 Mar 2024
TripleSurv: Triplet Time-adaptive Coordinate Loss for Survival Analysis
TripleSurv: Triplet Time-adaptive Coordinate Loss for Survival Analysis
Liwen Zhang
Lianzhen Zhong
Fan Yang
D. Dong
Hui Hui
Jie Tian
15
0
0
05 Jan 2024
DySurv: Dynamic Deep Learning Model for Survival Prediction in the ICU
DySurv: Dynamic Deep Learning Model for Survival Prediction in the ICU
Munib Mesinovic
Peter Watkinson
Ting Zhu
20
0
0
28 Oct 2023
Improving Event Time Prediction by Learning to Partition the Event Time
  Space
Improving Event Time Prediction by Learning to Partition the Event Time Space
Jimmy Hickey
Ricardo Henao
Daniel M. Wojdyla
Michael J. Pencina
Matthew M. Engelhard
11
0
0
24 Oct 2023
NSOTree: Neural Survival Oblique Tree
NSOTree: Neural Survival Oblique Tree
Xiaotong Sun
Peijie Qiu
19
0
0
25 Sep 2023
Contrastive Learning of Temporal Distinctiveness for Survival Analysis
  in Electronic Health Records
Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records
Mohsen Nayebi Kerdabadi
Arya Hadizadeh Moghaddam
Bin Liu
Meitian Liu
Zijun Yao
11
8
0
24 Aug 2023
Reinterpreting survival analysis in the universal approximator age
Reinterpreting survival analysis in the universal approximator age
Sören Dittmer
M. Roberts
J. Preller
AIX-COVNET Collaboration
James H. F. Rudd
J. Aston
Carola-Bibiane Schönlieb
32
0
0
25 Jul 2023
Towards Flexible Time-to-event Modeling: Optimizing Neural Networks via
  Rank Regression
Towards Flexible Time-to-event Modeling: Optimizing Neural Networks via Rank Regression
Hyunjun Lee
Junhyun Lee
Tae-Kil Choi
Jaewoo Kang
Sangbum Choi
OOD
CML
16
0
0
16 Jul 2023
Deep Learning for Survival Analysis: A Review
Deep Learning for Survival Analysis: A Review
S. Wiegrebe
Philipp Kopper
R. Sonabend
Bernd Bischl
Andreas Bender
21
64
0
24 May 2023
Learning Survival Distribution with Implicit Survival Function
Learning Survival Distribution with Implicit Survival Function
Yu Ling
Weimin Tan
Bo Yan
CML
19
2
0
24 May 2023
Proper Scoring Rules for Survival Analysis
Proper Scoring Rules for Survival Analysis
H. Yanagisawa
34
6
0
01 May 2023
Modelling customer churn for the retail industry in a deep learning
  based sequential framework
Modelling customer churn for the retail industry in a deep learning based sequential framework
Juan Pablo Equihua
Henrik Nordmark
Maged Ali
B. Lausen
11
0
0
02 Apr 2023
Modeling Events and Interactions through Temporal Processes -- A Survey
Modeling Events and Interactions through Temporal Processes -- A Survey
Angelica Liguori
Luciano Caroprese
Marco Minici
Bruno Veloso
Francesco Spinnato
M. Nanni
Giuseppe Manco
João Gama
AI4TS
18
2
0
10 Mar 2023
MOTOR: A Time-To-Event Foundation Model For Structured Medical Records
MOTOR: A Time-To-Event Foundation Model For Structured Medical Records
E. Steinberg
Jason Alan Fries
Yizhe Xu
N. Shah
OOD
AI4TS
36
13
0
09 Jan 2023
Examining properness in the external validation of survival models with
  squared and logarithmic losses
Examining properness in the external validation of survival models with squared and logarithmic losses
R. Sonabend
John Zobolas
Philipp Kopper
Lukas Burk
Andreas Bender
26
3
0
10 Dec 2022
Variable selection for nonlinear Cox regression model via deep learning
Variable selection for nonlinear Cox regression model via deep learning
Kexuan Li
33
6
0
17 Nov 2022
EDEN : An Event DEtection Network for the annotation of Breast Cancer
  recurrences in administrative claims data
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
Temporal Label Smoothing for Early Event Prediction
Temporal Label Smoothing for Early Event Prediction
Hugo Yèche
Alizée Pace
Gunnar Rätsch
Rita Kuznetsova
29
4
0
29 Aug 2022
Deep Learning-Based Discrete Calibrated Survival Prediction
Deep Learning-Based Discrete Calibrated Survival Prediction
Patrick Fuhlert
Anne Ernst
Esther Dietrich
Fabian Westhaeusser
K. Kloiber
Stefan Bonn
OOD
19
2
0
17 Aug 2022
SurvLatent ODE : A Neural ODE based time-to-event model with competing
  risks for longitudinal data improves cancer-associated Venous Thromboembolism
  (VTE) prediction
SurvLatent ODE : A Neural ODE based time-to-event model with competing risks for longitudinal data improves cancer-associated Venous Thromboembolism (VTE) prediction
I. Moon
S. Groha
A. Gusev
BDL
20
10
0
20 Apr 2022
Survival Seq2Seq: A Survival Model based on Sequence to Sequence
  Architecture
Survival Seq2Seq: A Survival Model based on Sequence to Sequence Architecture
Ebrahim Pourjafari
Navid Ziaei
Mohammadreza Rezaei
Amir Sameizadeh
M. Shafiee
M. Alavinia
M. Abolghasemian
Nick Sajadi
BDL
9
4
0
09 Apr 2022
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from
  H&E Images Combining Self-Attention Multiple Instance Learning with a
  Recurrent Neural Network
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
25
4
0
26 Nov 2021
Towards Generating Real-World Time Series Data
Towards Generating Real-World Time Series Data
Hengzhi Pei
Kan Ren
Yuqing Yang
Chang-Shu Liu
Tao Qin
Dongsheng Li
AI4TS
25
32
0
16 Nov 2021
Inverse-Weighted Survival Games
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
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
Alicia Curth
Changhee Lee
M. Schaar
CML
22
29
0
26 Oct 2021
Towards modelling hazard factors in unstructured data spaces using
  gradient-based latent interpolation
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
Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted
  Nonparametric Hazards
Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards
Z. Nowroozilarki
Arash Pakbin
J. Royalty
Donald K. K. Lee
B. Mortazavi
11
8
0
17 Oct 2021
Metaparametric Neural Networks for Survival Analysis
Metaparametric Neural Networks for Survival Analysis
F. D. De Mello
J. Wilkinson
V. Kadirkamanathan
17
2
0
13 Oct 2021
SurvTRACE: Transformers for Survival Analysis with Competing Events
SurvTRACE: Transformers for Survival Analysis with Competing Events
Zifeng Wang
Jimeng Sun
33
67
0
02 Oct 2021
Deep survival analysis with longitudinal X-rays for COVID-19
Deep survival analysis with longitudinal X-rays for COVID-19
Michelle Shu
Richard Strong Bowen
Charles Herrmann
Gengmo Qi
Michele Santacatterina
Ramin Zabih
14
8
0
22 Aug 2021
Leveraging Deep Representations of Radiology Reports in Survival
  Analysis for Predicting Heart Failure Patient Mortality
Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality
Hyungchul Lee
E. Sholle
Ashley N. Beecy
S. Al’Aref
Yifan Peng
15
7
0
03 May 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
33
37
0
13 Jan 2021
DeepHazard: neural network for time-varying risks
DeepHazard: neural network for time-varying risks
Denise Rava
Jelena Bradic
11
7
0
26 Jul 2020
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
Xiaochen Wang
Arash Pakbin
B. Mortazavi
Hongyu Zhao
Donald K. K. Lee
11
9
0
25 Jun 2020
A General Framework for Survival Analysis and Multi-State Modelling
A General Framework for Survival Analysis and Multi-State Modelling
S. Groha
Sebastian M. Schmon
A. Gusev
CML
14
8
0
08 Jun 2020
An RNN-Survival Model to Decide Email Send Times
An RNN-Survival Model to Decide Email Send Times
Harvineet Singh
Moumita Sinha
Atanu R. Sinha
S. Garg
Neha Banerjee
AI4TS
17
5
0
21 Apr 2020
Neural Conditional Event Time Models
Neural Conditional Event Time Models
Matthew M. Engelhard
S. Berchuck
Joshua DÁrcy
Ricardo Henao
11
3
0
03 Apr 2020
Targeted Estimation of Heterogeneous Treatment Effect in Observational
  Survival Analysis
Targeted Estimation of Heterogeneous Treatment Effect in Observational Survival Analysis
Jie Zhu
B. Gallego
CML
14
26
0
20 Oct 2019
Deep Lifetime Clustering
Deep Lifetime Clustering
S Chandra Mouli
Leonardo Teixeira
Jennifer Neville
Bruno Ribeiro
17
7
0
01 Oct 2019
Variational Inference of Joint Models using Multivariate Gaussian
  Convolution Processes
Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes
Xubo Yue
Raed Al Kontar
27
16
0
09 Mar 2019
12
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