Machine learning for synthetic data generation: a review
Machine learning heavily relies on data, but real-world applications often encounter various
data-related issues. These include data of poor quality, insufficient data points leading to …
data-related issues. These include data of poor quality, insufficient data points leading to …
Challenges and opportunities beyond structured data in analysis of electronic health records
M Tayefi, P Ngo, T Chomutare… - Wiley …, 2021 - Wiley Online Library
Electronic health records (EHR) contain a lot of valuable information about individual
patients and the whole population. Besides structured data, unstructured data in EHRs can …
patients and the whole population. Besides structured data, unstructured data in EHRs can …
Synthetic Data--what, why and how?
This explainer document aims to provide an overview of the current state of the rapidly
expanding work on synthetic data technologies, with a particular focus on privacy. The …
expanding work on synthetic data technologies, with a particular focus on privacy. The …
Dissecting racial bias in an algorithm used to manage the health of populations
Health systems rely on commercial prediction algorithms to identify and help patients with
complex health needs. We show that a widely used algorithm, typical of this industry-wide …
complex health needs. We show that a widely used algorithm, typical of this industry-wide …
Generation and evaluation of synthetic patient data
Background Machine learning (ML) has made a significant impact in medicine and cancer
research; however, its impact in these areas has been undeniably slower and more limited …
research; however, its impact in these areas has been undeniably slower and more limited …
Synthesizing tabular data using generative adversarial networks
L Xu, K Veeramachaneni - arXiv preprint arXiv:1811.11264, 2018 - arxiv.org
Generative adversarial networks (GANs) implicitly learn the probability distribution of a
dataset and can draw samples from the distribution. This paper presents, Tabular GAN …
dataset and can draw samples from the distribution. This paper presents, Tabular GAN …
Development and validation of the pandemic fatigue scale
The existence and nature of pandemic fatigue–defined as a gradually emerging subjective
state of weariness and exhaustion from, and a general demotivation towards, following …
state of weariness and exhaustion from, and a general demotivation towards, following …
A review of tabular data synthesis using GANs on an IDS dataset
Recent technological innovations along with the vast amount of available data worldwide
have led to the rise of cyberattacks against network systems. Intrusion Detection Systems …
have led to the rise of cyberattacks against network systems. Intrusion Detection Systems …
[HTML][HTML] Automated detection of COVID-19 cough
Easy detection of COVID-19 is a challenge. Quick biological tests do not give enough
accuracy. Success in the fight against new outbreaks depends not only on the efficiency of …
accuracy. Success in the fight against new outbreaks depends not only on the efficiency of …
The role of personality in COVID-19-related perceptions, evaluations, and behaviors: Findings across five samples, nine traits, and 17 criteria
Individuals and institutions around the world have been affected by the coronavirus disease
2019 (COVID-19). Herein, we investigate the role of basic (Big Five and HEXACO) and …
2019 (COVID-19). Herein, we investigate the role of basic (Big Five and HEXACO) and …