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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

2 June 2016
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
    BDL
    CML
    OOD
ArXivPDFHTML

Papers citing "DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network"

47 / 97 papers shown
Title
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
Universal hidden monotonic trend estimation with contrastive learning
Universal hidden monotonic trend estimation with contrastive learning
Edouard Pineau
S. Razakarivony
Mauricio Gonzalez
A. Schrapffer
23
0
0
18 Oct 2022
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole
  Slide Histopathological Images
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images
Tian-peng Liu
R. Su
Changming Sun
Xiu-Ting Li
Leyi Wei
24
20
0
11 Oct 2022
Explainable Censored Learning: Finding Critical Features with Long Term
  Prognostic Values for Survival Prediction
Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction
Xinxing Wu
Chong Peng
R. Charnigo
Q. Cheng
25
3
0
30 Sep 2022
Survival Mixture Density Networks
Survival Mixture Density Networks
Xintian Han
Mark Goldstein
Rajesh Ranganath
28
5
0
23 Aug 2022
FastCPH: Efficient Survival Analysis for Neural Networks
FastCPH: Efficient Survival Analysis for Neural Networks
Xuelin Yang
L. Abraham
Sejin Kim
P. Smirnov
Feng Ruan
B. Haibe-Kains
Robert Tibshirani
17
4
0
21 Aug 2022
Stacked Autoencoder Based Multi-Omics Data Integration for Cancer
  Survival Prediction
Stacked Autoencoder Based Multi-Omics Data Integration for Cancer Survival Prediction
Xing Wu
Qiulian Fang
16
6
0
08 Jul 2022
Hazard Gradient Penalty for Survival Analysis
Hazard Gradient Penalty for Survival Analysis
Seungjae Jung
KyungHyun Kim
25
0
0
27 May 2022
Censored Quantile Regression Neural Networks for Distribution-Free
  Survival Analysis
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
Tim Pearce
Jong-Hyeon Jeong
Yichen Jia
Jun Zhu
21
2
0
26 May 2022
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift
Vincent Jeanselme
G. Martin
Niels Peek
M. Sperrin
Brian D. M. Tom
Jessica Barrett
OOD
28
4
0
26 May 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
33
21
0
15 Apr 2022
Longitudinal Fairness with Censorship
Longitudinal Fairness with Censorship
Wenbin Zhang
Jeremy C. Weiss
17
40
0
30 Mar 2022
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With
  Self-supervised Learning
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
Metastatic Cancer Outcome Prediction with Injective Multiple Instance
  Pooling
Metastatic Cancer Outcome Prediction with Injective Multiple Instance Pooling
Jianan Chen
Anne L. Martel
22
2
0
09 Mar 2022
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and
  Applications
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications
Bokun Wang
Tianbao Yang
38
31
0
24 Feb 2022
Counterfactual Phenotyping with Censored Time-to-Events
Counterfactual Phenotyping with Censored Time-to-Events
Chirag Nagpal
Mononito Goswami
K. Dufendach
A. Dubrawski
CML
22
27
0
22 Feb 2022
Practical Challenges in Differentially-Private Federated Survival
  Analysis of Medical Data
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data
Shadi Rahimian
Raouf Kerkouche
I. Kurth
Mario Fritz
FedML
16
11
0
08 Feb 2022
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep
  Anchor Attention Learning with Vision Transformer
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep Anchor Attention Learning with Vision Transformer
Xuan Xu
Prateek Prasanna
ViT
MedIm
19
7
0
03 Feb 2022
MPVNN: Mutated Pathway Visible Neural Network Architecture for
  Interpretable Prediction of Cancer-specific Survival Risk
MPVNN: Mutated Pathway Visible Neural Network Architecture for Interpretable Prediction of Cancer-specific Survival Risk
G. Roy
N. Geard
Karin Verspoor
Shan He
26
9
0
02 Feb 2022
BITES: Balanced Individual Treatment Effect for Survival data
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
15
22
0
05 Jan 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
20
4
0
26 Nov 2021
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free
  Survival using a Full-Scale UNet with Attention
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention
Emmanuelle Bourigault
Daniel R. McGowan
A. Mehranian
Bartlomiej W. Papie.z
38
22
0
06 Nov 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
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients
  with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT
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
16
38
0
16 Sep 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
19
29
0
10 Jun 2021
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed
  Coverage for Cox-MLP
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP
Jiaye Teng
Zeren Tan
Yang Yuan
24
13
0
08 Mar 2021
EPIC-Survival: End-to-end Part Inferred Clustering for Survival
  Analysis, Featuring Prognostic Stratification Boosting
EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, Featuring Prognostic Stratification Boosting
Hassan Muhammad
Chen-Wei Xie
C. Sigel
M. Doukas
L. Alpert
William R. Jarnagin
Amber L. Simpson
Thomas J. Fuchs
21
6
0
26 Jan 2021
Dynamic prediction of time to event with survival curves
Dynamic prediction of time to event with survival curves
Jie Zhu
B. Gallego
25
2
0
26 Jan 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
31
37
0
13 Jan 2021
Counterfactual explanation of machine learning survival models
Counterfactual explanation of machine learning survival models
M. Kovalev
Lev V. Utkin
CML
OffRL
24
19
0
26 Jun 2020
Deep Learning for Insider Threat Detection: Review, Challenges and
  Opportunities
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities
Shuhan Yuan
Xintao Wu
AAML
20
156
0
25 May 2020
Experimental Comparison of Semi-parametric, Parametric, and Machine
  Learning Models for Time-to-Event Analysis Through the Concordance Index
Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Models for Time-to-Event Analysis Through the Concordance Index
Camila Fernandez
Chung Shue Chen
Pierre Gaillard
Alonso Silva
20
1
0
13 Mar 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
13
119
0
02 Mar 2020
PathologyGAN: Learning deep representations of cancer tissue
PathologyGAN: Learning deep representations of cancer tissue
A. Quiros
R. Murray-Smith
Ke-Fei Yuan
MedIm
GAN
9
85
0
04 Jul 2019
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
21
15
0
13 May 2019
Explainable AI for Trees: From Local Explanations to Global
  Understanding
Explainable AI for Trees: From Local Explanations to Global Understanding
Scott M. Lundberg
G. Erion
Hugh Chen
A. DeGrave
J. Prutkin
B. Nair
R. Katz
J. Himmelfarb
N. Bansal
Su-In Lee
FAtt
20
286
0
11 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
22
37
0
07 May 2019
Data-driven Prognostics with Predictive Uncertainty Estimation using
  Ensemble of Deep Ordinal Regression Models
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models
T. Vishnu
Diksha Garg
Pankaj Malhotra
L. Vig
Gautam M. Shroff
UQCV
27
15
0
23 Mar 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
14
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
9
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
22
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
17
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
6
54
0
21 Jun 2018
Learning to rank for censored survival data
Learning to rank for censored survival data
Margaux Luck
Tristan Sylvain
Joseph Paul Cohen
H. Cardinal
Andrea Lodi
Yoshua Bengio
CML
38
5
0
06 Jun 2018
A Scalable Discrete-Time Survival Model for Neural Networks
A Scalable Discrete-Time Survival Model for Neural Networks
Michael Gensheimer
B. Narasimhan
19
189
0
02 May 2018
Disease-Atlas: Navigating Disease Trajectories with Deep Learning
Disease-Atlas: Navigating Disease Trajectories with Deep Learning
Bryan Lim
M. Schaar
14
32
0
27 Mar 2018
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