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

Noémie Elhadad

Nicholas P. Tatonetti

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

7 / 7 papers shown

Title
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 28 2 0 27 May 2024
30 Years of Synthetic Data Joerg Drechsler Anna Haensch 22 15 0 04 Apr 2023
CTAB-GAN+: Enhancing Tabular Data Synthesis Zilong Zhao A. Kunar Robert Birke L. Chen 21 77 0 01 Apr 2022
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources Ghadeer O. Ghosheh Jin Li T. Zhu 27 31 0 14 Mar 2022
Deep Learning for Epidemiologists: An Introduction to Neural Networks S. Serghiou K. Rough FedML 8 13 0 02 Feb 2022
CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao A. Kunar H. V. D. Scheer Robert Birke L. Chen CML 118 197 0 16 Feb 2021
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks E. Choi Siddharth Biswal B. Malin J. Duke Walter F. Stewart Jimeng Sun SyDa GAN 145 569 0 19 Mar 2017