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A reproducible open-source framework for defining type 1 and type 2 diabetes research cohorts in routinely collected electronic health record data

2025-03-26

Abstract excerpt

<h4>Background</h4> Electronic health record data (EHR) data provide an increasingly important resource for studying people living with diabetes and their clinical outcomes, but robustly coding reproducible datasets is challenging. We aimed to develop a standardised data-processing framework for defining cohorts of people with type 1 and type 2 diabetes using EHR data. <h4>Methods</h4> We initially provide a stand...

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Literature Corpus work
22bbadb0-8500-5e41-b9d8-7a4073a1a77a
DOI
10.1101/2025.03.26.25324678
Open publication

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A reproducible open-source framework for defining type 1 and type 2 diabetes research cohorts in routinely collected electronic health record dataDOI 10.1101/2025.03.26.25324678
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