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Automatic detection of actionable findings and communication mentions in radiology reports using natural language processing.

Jacob J VisserMarianne de VriesJan A Kors
Published in: European radiology (2022)
• Classifiers were developed for automatic detection of the broad spectrum of actionable findings and subsequent communication mentions in routinely delivered radiology reports. • Straightforward report preprocessing and simple feature sets can produce well-performing classifiers. • The resultant classifiers show good performance for detection of actionable findings and excellent performance for detection of communication mentions.
Keyphrases
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