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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Dec 10, 2024
Open Peer Review Period: Nov 26, 2024 - Jan 21, 2025
Date Accepted: Apr 30, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Combining Machine Learning With Real-World Data to Identify Gaps in Clinical Practice Guidelines: Feasibility Study Using the Prospective German Stroke Registry and the National Acute Ischemic Stroke Guidelines

Müller S, Diekmann S, Wenzel M, Hahn HK, Tünnerhoff J, Ernemann U, Hennersdorf F, German Stroke Registry Investigators , Westphal M, Poli S

Combining Machine Learning With Real-World Data to Identify Gaps in Clinical Practice Guidelines: Feasibility Study Using the Prospective German Stroke Registry and the National Acute Ischemic Stroke Guidelines

JMIR Med Inform 2025;13:e69282

DOI: 10.2196/69282

PMID: 40653745

PMCID: 12274016

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Per the author's request this version is not available.