Pre-processing MEDS Data

To pre-process MEDS data, you can use a variety of tools and libraries. The MEDS-Reader library will help you do fast, pythonic, and efficient processing over MEDS datasets with familiar syntax, enabling you to write your own pipelines as you would normally but with significant acceleration.

You can also leverage tools like MEDS-Transforms to build pipelines across existing or customized stages of pre-processing, such as outlier detection, normalization, event and/or measurement filtering, and more.