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Heterogeneous Treatment Effect Estimation using machine learning for
  Healthcare application: tutorial and benchmark

Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark

27 September 2021
Yaobin Ling
Pulakesh Upadhyaya
Luyao Chen
Xiaoqian Jiang
Yejin Kim
    CML
ArXivPDFHTML

Papers citing "Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark"

3 / 3 papers shown
Title
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects
Jef Jonkers
Jarne Verhaeghe
Glenn Van Wallendael
Luc Duchateau
Sofie Van Hoecke
28
2
0
07 Feb 2024
Clinical Decision Transformer: Intended Treatment Recommendation through
  Goal Prompting
Clinical Decision Transformer: Intended Treatment Recommendation through Goal Prompting
Seunghyun Lee
D. Lee
Sujeong Im
N. Kim
Sung-Min Park
27
11
0
01 Feb 2023
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
232
719
0
12 May 2016
1