Multiple features-based adverse drug reaction detection from social media using deep convolutional neural networks (DCNN)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18144-9.pdf
Reference24 articles.
1. Wang J, Liang-Chih Yu, Zhang X (2022) Explainable detection of adverse drug reaction with imbalanced data distribution. PLoS Comput Biol 18(6):e1010144
2. Alimova I, Tutubalina E (2019) Detecting adverse drug reactions from biomedical texts with neural networks. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pp. 415–421
3. Hussain S, Afzal H, Saeed R, Iltaf N, Umair MY (2021) Pharmacovigilance with transformers: A framework to detect adverse drug reactions using BERT fine-tuned with FARM. Comput Math Methods Med 2021
4. Li Z, Lin H, Zheng W (2020) An effective emotional expression and knowledge-enhanced method for detecting adverse drug reactions. IEEE Access 8:87083–87093
5. Zhang Y, Cui S, Gao H (2020) Adverse drug reaction detection on social media with deep linguistic features. J Biomed Inform 106:103437
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