Leveraging The Power Of AI And ML To Generate Synthetic Data For Clinical Trials
Speed is what we are after in the 21st century to help us solve problems. That is why we are always looking for better solutions that can offer us quick help. Of course, artificial intelligence and machine learning have been at the forefront of this, as they offer fast solutions.
Even when creating clinical trials and mock-ups, one of the biggest challenges is the time it takes to compile the data. Because of this, researchers have to use various machine learning libraries to perform difficult analyses. However, if you are also in this field and looking to generate synthetic data, here is your brief guide.
The Basics Of Synthetic Data
Before we move on to more challenging concepts, you need to understand the basics of synthetic data. That is because when clinical researchers talk about synthetic data, they are usually referring to the data that has been generated from an original dataset. The original data will typically reflect the measurements of the actual events.
However, it could contain information that would easily identify the people that were observed. Of course, that is a big problem because patient privacy is the most important thing to healthcare professionals. Researchers can generate synthetic data by applying an…
