Published on in Vol 8 , No 12 (2020) :December
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/18953, first published
.
The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study
The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study
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- Solarte Pabón O, Montenegro O, Torrente M, Rodríguez González A, Provencio M, Menasalvas E. Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach. PeerJ Computer Science 2022;8:e913 View
- Weng K, Liu C, Chen C. Deep Learning Approach for Negation and Speculation Detection for Automated Important Finding Flagging and Extraction in Radiology Report: Internal Validation and Technique Comparison Study. JMIR Medical Informatics 2023;11:e46348 View
- Abbasi N, Lacson R, Kapoor N, Licaros A, Guenette J, Burk K, Hammer M, Desai S, Eappen S, Saini S, Khorasani R. Development and External Validation of an Artificial Intelligence Model for Identifying Radiology Reports Containing Recommendations for Additional Imaging. American Journal of Roentgenology 2023 View