PBarnaghi / medtimeline

The MedTimeline library aims to provide a standardised process for pre-processing and generating patient journey timelines for the cardiology EHR dataset. Developed by Louise Rigny (Great Ormond Street Hospital for Children)

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medtimeline

The MedTimeline library aims to provide a standardised process for pre-processing and generating patient journey timelines for the cardiology EHR dataset.

The following provides an overview of how to use the library to:

Configure the library based on your own data paths and computer set-up
Load patient journeys based on individual RDVs
Load pre-processed RDVs, without generating timelines
Load combined patient journeys based on procedure RDVs
Load pre-processed, individual procedure-related RDVs, without generating timelines
Load complete, full patient journeys, for all admissions, based on all RDVs.
Timelines are a useful step in large language modelling and can be used for various research purposes.

Developed by Louise Rigny

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The MedTimeline library aims to provide a standardised process for pre-processing and generating patient journey timelines for the cardiology EHR dataset. Developed by Louise Rigny (Great Ormond Street Hospital for Children)


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Language:Jupyter Notebook 60.8%Language:Python 39.2%