End-to-end pipeline for automated heart failure diagnosis with clinical notes using SNOMED-CT

Abstract Diagnosis of heart failure is complex but crucial for patient outcomes and often hindered by the untapped potential of unstructured clinical notes. We introduce a novel end-to-end pipeline for heart failure diagnosis, leveraging electronic health records (EHR) and German clinical notes from...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Fu-Sung Kim-Benjamin Tang, Marlo Verket, Dirk Müller-Wieland, Julia Brandts, Malte Jacobsen, Andreas Pütz, Katharina Marx-Schütt, Nikolaus Marx, Thomas Schmitz-Rode, Ioana Slabu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2026-04-01
Schriftenreihe:	Scientific Reports
Online-Zugang:	https://doi.org/10.1038/s41598-026-48771-1
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