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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

15 April 2022
Chirag Nagpal
Willa Potosnak
A. Dubrawski
    CML
    OOD
ArXivPDFHTML

Papers citing "auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data"

17 / 17 papers shown
Title
Beyond Cox Models: Assessing the Performance of Machine-Learning Methods in Non-Proportional Hazards and Non-Linear Survival Analysis
Beyond Cox Models: Assessing the Performance of Machine-Learning Methods in Non-Proportional Hazards and Non-Linear Survival Analysis
Ivan Rossi
Flavio Sartori
Cesare Rollo
G. Birolo
P. Fariselli
Tiziana Sanavia
37
0
0
24 Apr 2025
FPBoost: Fully Parametric Gradient Boosting for Survival Analysis
FPBoost: Fully Parametric Gradient Boosting for Survival Analysis
Alberto Archetti
Eugenio Lomurno
Diego Piccinotti
Matteo Matteucci
42
2
0
20 Sep 2024
Identifying treatment response subgroups in observational time-to-event data
Identifying treatment response subgroups in observational time-to-event data
Vincent Jeanselme
Chang Ho Yoon
Fabian Falck
Brian D. M. Tom
Jessica Barrett
OOD
CML
45
0
0
06 Aug 2024
DITTO: A Visual Digital Twin for Interventions and Temporal Treatment
  Outcomes in Head and Neck Cancer
DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer
A. Wentzel
Serageldin Attia
Xinhua Zhang
G. Canahuate
Clifton Fuller
G. Marai
36
3
0
18 Jul 2024
Variational Deep Survival Machines: Survival Regression with Censored
  Outcomes
Variational Deep Survival Machines: Survival Regression with Censored Outcomes
Qinxin Wang
Jiayuan Huang
Junhui Li
Jiaming Liu
DRL
CML
14
0
0
24 Apr 2024
TorchSurv: A Lightweight Package for Deep Survival Analysis
TorchSurv: A Lightweight Package for Deep Survival Analysis
M. Monod
Peter Krusche
Qian Cao
B. Sahiner
N. Petrick
D. Ohlssen
T. Coroller
TPM
27
1
0
16 Apr 2024
ICTSurF: Implicit Continuous-Time Survival Functions with Neural
  Networks
ICTSurF: Implicit Continuous-Time Survival Functions with Neural Networks
C. Puttanawarut
Panu Looareesuwan
Romen Samuel Wabina
Prut Saowaprut
24
1
0
10 Dec 2023
Maximum Likelihood Estimation of Flexible Survival Densities with
  Importance Sampling
Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling
Mert Ketenci
Shreyas Bhave
Noémie Elhadad
A. Perotte
27
0
0
03 Nov 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
Neural Fine-Gray: Monotonic neural networks for competing risks
Neural Fine-Gray: Monotonic neural networks for competing risks
Vincent Jeanselme
Changwon Yoon
Brian D. M. Tom
Jessica Barrett
16
7
0
11 May 2023
Using Geographic Location-based Public Health Features in Survival
  Analysis
Using Geographic Location-based Public Health Features in Survival Analysis
Navid Seidi
Ardhendu Shekhar Tripathy
Sajal Kumar Das
16
4
0
16 Apr 2023
Recovering Sparse and Interpretable Subgroups with Heterogeneous
  Treatment Effects with Censored Time-to-Event Outcomes
Recovering Sparse and Interpretable Subgroups with Heterogeneous Treatment Effects with Censored Time-to-Event Outcomes
Chirag Nagpal
Vedant Sanil
A. Dubrawski
CML
26
1
0
24 Feb 2023
Predicting adverse outcomes following catheter ablation treatment for
  atrial fibrillation
Predicting adverse outcomes following catheter ablation treatment for atrial fibrillation
J. Quiroz
D. Brieger
Louisa R Jorm
R. Sy
B. Hsu
B. Gallego
22
0
0
22 Nov 2022
SurvSHAP(t): Time-dependent explanations of machine learning survival
  models
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Mateusz Krzyzinski
Mikolaj Spytek
Hubert Baniecki
P. Biecek
FAtt
AI4TS
26
76
0
23 Aug 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
Deep Cox Mixtures for Survival Regression
Deep Cox Mixtures for Survival Regression
Chirag Nagpal
Steve Yadlowsky
Negar Rostamzadeh
Katherine A. Heller
CML
42
59
0
16 Jan 2021
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
115
1,231
0
02 Jun 2016
1