Synthetic Data Generation

Synthetic Data Generation refers to the creation of synthetic data through algorithms and technologies that possess similar statistical characteristics to real data. Its objective is to provide a large amount of high-quality training data for the development and optimization of machine learning models while safeguarding privacy and data security. In the healthcare sector, the application value of synthetic data is particularly significant, as it can effectively address issues of data scarcity and sensitivity, thereby promoting advancements in medical research and clinical decision support systems.