Diagnosis extraction from unstructured Dutch echocardiogram reports using span- and document-level characteristic classification.
Journal:
BMC medical informatics and decision making
PMID:
40050820
Abstract
BACKGROUND: Clinical machine learning research and artificial intelligence driven clinical decision support models rely on clinically accurate labels. Manually extracting these labels with the help of clinical specialists is often time-consuming and expensive. This study tests the feasibility of automatic span- and document-level diagnosis extraction from unstructured Dutch echocardiogram reports.