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Generative Adversarial Networks for Electronic Health Records: A
  Framework for Exploring and Evaluating Methods for Predicting Drug-Induced
  Laboratory Test Trajectories

Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories

1 December 2017
A. Yahi
Rami Vanguri
Noémie Elhadad
Nicholas P. Tatonetti
    GAN
ArXivPDFHTML

Papers citing "Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories"

11 / 11 papers shown
Title
A Correlation- and Mean-Aware Loss Function and Benchmarking Framework
  to Improve GAN-based Tabular Data Synthesis
A Correlation- and Mean-Aware Loss Function and Benchmarking Framework to Improve GAN-based Tabular Data Synthesis
Minh H. Vu
Daniel Edler
C. Wibom
Tommy Löfstedt
Beatrice Melin
M. Rosvall
37
2
0
27 May 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
58
27
0
01 Apr 2024
30 Years of Synthetic Data
30 Years of Synthetic Data
Joerg Drechsler
Anna Haensch
30
15
0
04 Apr 2023
PhysioGAN: Training High Fidelity Generative Model for Physiological
  Sensor Readings
PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings
M. Alzantot
L. Garcia
Mani B. Srivastava
27
1
0
25 Apr 2022
CTAB-GAN+: Enhancing Tabular Data Synthesis
CTAB-GAN+: Enhancing Tabular Data Synthesis
Zilong Zhao
A. Kunar
Robert Birke
L. Chen
32
78
0
01 Apr 2022
A review of Generative Adversarial Networks for Electronic Health
  Records: applications, evaluation measures and data sources
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Ghadeer O. Ghosheh
Jin Li
T. Zhu
35
32
0
14 Mar 2022
Deep Learning for Epidemiologists: An Introduction to Neural Networks
Deep Learning for Epidemiologists: An Introduction to Neural Networks
S. Serghiou
K. Rough
FedML
24
13
0
02 Feb 2022
CTAB-GAN: Effective Table Data Synthesizing
CTAB-GAN: Effective Table Data Synthesizing
Zilong Zhao
A. Kunar
H. V. D. Scheer
Robert Birke
L. Chen
CML
132
198
0
16 Feb 2021
Synthetic Observational Health Data with GANs: from slow adoption to a
  boom in medical research and ultimately digital twins?
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau
Elisa Cirillo
SyDa
AI4CE
36
17
0
27 May 2020
Modeling Tabular data using Conditional GAN
Modeling Tabular data using Conditional GAN
Lei Xu
Maria Skoularidou
Alfredo Cuesta-Infante
K. Veeramachaneni
CML
MU
SyDa
GAN
54
1,210
0
01 Jul 2019
Generating Multi-label Discrete Patient Records using Generative
  Adversarial Networks
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
Edward Choi
Siddharth Biswal
B. Malin
J. Duke
Walter F. Stewart
Jimeng Sun
SyDa
GAN
156
570
0
19 Mar 2017
1