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Synthetic data generation: State of the art in health care domain
Recent progress in artificial intelligence and machine learning has led to the growth of
research in every aspect of life including the health care domain. However, privacy risks and …
research in every aspect of life including the health care domain. However, privacy risks and …
A survey of generative adversarial networks for synthesizing structured electronic health records
Electronic Health Records (EHRs) are a valuable asset to facilitate clinical research and
point of care applications; however, many challenges such as data privacy concerns impede …
point of care applications; however, many challenges such as data privacy concerns impede …
[HTML][HTML] Generative AI in medical practice: in-depth exploration of privacy and security challenges
As advances in artificial intelligence (AI) continue to transform and revolutionize the field of
medicine, understanding the potential uses of generative AI in health care becomes …
medicine, understanding the potential uses of generative AI in health care becomes …
Attending to graph transformers
L Müller, M Galkin, C Morris, L Rampášek - ar** review and ethics checklist
The widespread use of Chat Generative Pre-trained Transformer (known as ChatGPT) and
other emerging technology that is powered by generative artificial intelligence (GenAI) has …
other emerging technology that is powered by generative artificial intelligence (GenAI) has …
Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding--A Survey
Synthetic tabular data evaluation in the health domain covering resemblance, utility, and privacy dimensions
Background Synthetic tabular data generation is a potentially valuable technology with great
promise for data augmentation and privacy preservation. However, prior to adoption, an …
promise for data augmentation and privacy preservation. However, prior to adoption, an …