Graph Based Zero Shot Adverse Drug Reaction Detection from Social Media Reviews Using GPT-Neo
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Springer Nature Singapore
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https://link.springer.com/content/pdf/10.1007/978-981-99-3478-2_21
Reference43 articles.
1. Abdelaziz, I., Fokoue, A., Hassanzadeh, O., Zhang, P., Sadoghi, M.: Large-scale structural and textual similarity-based mining of knowledge graph to predict drug-drug interactions. J. Web Semant. 44, 104–117 (2017)
2. Bian, J., Guo, Y., He, Z., Hu, X.: Social Web and Health Research. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-14714-3
3. Bollegala, D., Maskell, S., Sloane, R., Hajne, J., Pirmohamed, M., et al.: Causality patterns for detecting adverse drug reactions from social media: text mining approach. JMIR Publ. Health Surveill. 4(2), e8214 (2018)
4. Cocos, A., Fiks, A.G., Masino, A.J.: Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in twitter posts. J. Am. Med. Inform. Assoc. 24(4), 813–821 (2017)
5. Dandala, B., Joopudi, V., Devarakonda, M.: Adverse drug events detection in clinical notes by jointly modeling entities and relations using neural networks. Drug Saf. 42(1), 135–146 (2019)
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1. Twitter Account Analysis for Drug Involvement Detection;2023 3rd Intelligent Cybersecurity Conference (ICSC);2023-10-23
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