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

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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

Author: Müller, Sandrine; Diekmann, Susanne; Wenzel, Markus; Hahn, Horst Karl; Tünnerhoff, Johannes; Ernemann, Ulrike; Hennersdorf, Florian; Westphal, Max; Poli, Sven
Tübinger Autor(en):
Tünnerhoff, Johannes
Ernemann, Ulrike
Hennersdorf, Florian
Poli, Sven
Published in: Jmir Medical Informatics (2025), Bd. 13Article e69282
Verlagsangabe: Toronto : Jmir Publications, Inc
Language: English
Full text: http://dx.doi.org/10.2196/69282
ISSN: 2291-9694
DDC Classifikation: 004 - Data processing and computer science
610 - Medicine and health
Dokumentart: Article
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