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A Deep Active Survival Analysis Approach for Precision Treatment
  Recommendations: Application of Prostate Cancer

A Deep Active Survival Analysis Approach for Precision Treatment Recommendations: Application of Prostate Cancer

10 April 2018
Milad Zafar Nezhad
Najibesadat Sadati
Kai Yang
D. Zhu
ArXivPDFHTML

Papers citing "A Deep Active Survival Analysis Approach for Precision Treatment Recommendations: Application of Prostate Cancer"

4 / 4 papers shown
Title
SurvBeX: An explanation method of the machine learning survival models
  based on the Beran estimator
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator
Lev V. Utkin
Danila Eremenko
A. Konstantinov
32
4
0
07 Aug 2023
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
A weighted random survival forest
A weighted random survival forest
Lev V. Utkin
A. Konstantinov
V. Chukanov
M. V. Kots
M. Ryabinin
A. Meldo
21
40
0
01 Jan 2019
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
1