Using patient journey archetypes and greedy maximum coverage to solve travel friction in Kansas diabetes care.
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Updated
May 6, 2026 - Python
Using patient journey archetypes and greedy maximum coverage to solve travel friction in Kansas diabetes care.
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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