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Evaluation of the Synthetic Electronic Health Records

Evaluation of the Synthetic Electronic Health Records

16 October 2022
E. Muller
Xu Zheng
Jer Hayes
    ELM
ArXivPDFHTML

Papers citing "Evaluation of the Synthetic Electronic Health Records"

5 / 5 papers shown
Title
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating
  and Auditing Generative Models
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed Alaa
B. V. Breugel
Evgeny S. Saveliev
M. Schaar
85
193
0
17 Feb 2021
Conditional Wasserstein GAN-based Oversampling of Tabular Data for
  Imbalanced Learning
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning
Justin Engelmann
Stefan Lessmann
38
231
0
20 Aug 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
100
1,246
0
01 Jul 2019
Improved Precision and Recall Metric for Assessing Generative Models
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkaanniemi
Tero Karras
S. Laine
J. Lehtinen
Timo Aila
EGVM
95
858
0
15 Apr 2019
Assessing Generative Models via Precision and Recall
Assessing Generative Models via Precision and Recall
Mehdi S. M. Sajjadi
Olivier Bachem
Mario Lucic
Olivier Bousquet
Sylvain Gelly
EGVM
73
575
0
31 May 2018
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