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Similarly, Aramaki et al [26] used Japanese case reports as training data to develop a system for extracting a variety of symptoms. The F1-scores of their system were 0.87 for NER and 0.63 for NER with positive-negative classification [26], both of which were lower than the scores achieved by our system.
JMIR Med Inform 2025;13:e68863
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Among Japanese NLP studies that focused on medical issues, the study by Imai et al [4] developed a system that performs extraction and P-N classification of malignant findings from radiological reports such as computed tomography reports and magnetic resonance imaging reports; Ma et al [5] built a system that performs extraction and P-N classification of abnormal findings from discharge summaries, progress notes, and nursery notes; and Aramaki et al [6] developed a system that performs extraction and P-N classification
JMIR Form Res 2024;8:e55798
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