This talk will introduce synthetic data as an emerging tool for research and production. We will discuss the differences between synthetic, simulated, and resampled data and cover the current state of the art of synthetic data in healthcare, paying special attention to applications in pharma and diagnostics. We will walk through the basics of synthpop, an R package designed to generate synthetic and anonymous data at the individual level using various machine learning algorithms. Viewers will learn how to create entirely synthetic datasets with minimal statistical distortion their original data, making it suitable for software testing, data sharing, and model training. The talk will end with a demonstration of synthpop's quality evaluation features and major caveats to consider during the generation process.
Sophie Furlow
Abbott Diagnostics
Generating Synthetic Data with synthpop in R
This talk will introduce synthetic data as an emerging tool for research and production. We will discuss the differences between synthetic, simulated, and resampled data and cover the current state of the art of synthetic data in healthcare, paying special attention to applications in pharma and diagnostics. We will walk through the basics of synthpop, an R package designed to generate synthetic and anonymous data at the individual level using various machine learning algorithms. Viewers will learn how to create entirely synthetic datasets with minimal statistical distortion their original data, making it suitable for software testing, data sharing, and model training. The talk will end with a demonstration of synthpop's quality evaluation features and major caveats to consider during the generation process.