Highlights:

• The framework, which the researchers call FIDDLE (Flexible Data-Driven Pipeline), has the power to greatly speed up EHR data preprocessing and assist machine learning (ML) practitioners working with health data, according to a study published this week in the Journal of the American Medical Informatics Association.
• "While FIDDLE is by no means the single best way to preprocess data for all use cases, it facilitates reproducibility and the sharing of preprocessing code (oftentimes overlooked or not fully described in the literature)," wrote the research team. "We hope that FIDDLE will be useful to other researchers; ultimately, once the community starts using the tool, we will be able to collectively refine and build on it together," they added.

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