Retraction Notice: "SQLSynthGen: Generating Synthetic Data for Healthcare Databases"

Synthetic data generation is crucial for leveraging machine learning in healthcare without compromising patient privacy. SQLSynthGen (SSG) offers a solution by generating synthetic datasets from relational databases, preserving data structure and integrity. By extracting statistical properties via SQL queries and applying differential privacy, SSG ensures data utility while protecting individual privacy. Transparency is maintained through configurable YAML files, facilitating data auditing and stakeholder trust. Despite its advancements, SSG faces challenges in relational data handling and privacy explainability, necessitating future improvements in these areas to enhance adoption in healthcare and other sensitive domains.