Efficient Clinical Information Extraction from Breast Radiology Reports in French

Jamil Zaghir, Belinda Lokaj, Karen Kinkel, Amal-Dahila Djema, Hugues Turbé, Mina Bjelogrlic, Valentin Durand de Gevigney, Jérôme Schmid, Christian Lovis, Jean-Philippe Goldman

Abstract: Radiology reports contain crucial patient information, in addition to images, that can be automatically extracted for secondary uses such as clinical support and research for diagnosis. We tested several classifiers to classify 1,218 breast MRI reports in French from two Swiss clinical centers. Logistic regression performed better for both internal (accuracy > 0.95 and macro-F1 > 0.86) and external data (accuracy > 0.81 and macro-F1 > 0.41). Automating this task will facilitate efficient extraction of targeted clinical parameters and provide a good basis for future annotation processes through automatic pre-annotation.