Using deep learning methods for discovering associations between drugs and side effects based on topic modeling in social network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13278-020-00645-8.pdf
Reference12 articles.
1. Akhtyamova L, Alexandrov M, Cardiff J (2017a) Adverse drug extraction in twitter data using convolutional neural network. In: 28th international workshop on database and expert systems applications (DEXA). Lyon, France. https://doi.org/10.1109/DEXA.2017.34
2. Akhtyamova L, Ignatov A, Cardiff J (2017b) A large-scale CNN ensemble for medication safety analysis. arXiv: 1706.0554
3. Ask a Patient (2001) A website for research drugs and health care topics. https://www.AskaPatient.com/
4. Bordet R, Gautier S, Louet HL, Dupuis B, Caron J (2001) Analysis of the direct cost of adverse drug reactions in hospitalised patients. Eur J Clin Pharmacol 56:935–941
5. Classen DC, Pestotnik SL, Evans RS, Lloyd JF, Burke JP (1997) Adverse drug events in hospitalized patients. excess length of stay, extra costs, and attributable mortality. JAMA 277:301–306. https://doi.org/10.1001/jama.1997.03540280039031
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