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| Analysis of Adverse Drug Reactions Identified in Nursing Notes Using Reinforcement Learning |
| Eunjoo Jeon, Youngsam Kim, Hojun Park, Rae Woong Park, Hyopil Shin, Hyeoun-Ae Park |
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Healthc Inform Res. 2020;26(2):104-111. Published online April 30, 2020 DOI: https://doi.org/10.4258/hir.2020.26.2.104 |
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Analysis of Adverse Drug Reactions Identified in Nursing Notes Using Reinforcement Learning Healthcare Informatics Research. 2020;26(2):104-111  Analysis of data on capecitabine-related adverse drug reactions from the Korean adverse event reporting system database European Journal of Oncology Nursing. 2018;34:55-60 Analysis of adverse drug reactions for preventability International Journal of Clinical Practice. 2007;61(1):157-161 Adverse Drug Reactions and Drug Interactions Understanding Pharmacology in Nursing Practice. 2020;89-114 Adverse Drug Reactions Prediction Using Multi-label Linear Discriminant Analysis and Multi-label Learning 2020 International Conference on Advanced Computer Science and Information Systems (ICACSIS). 2020; Effect of Website-based Learning on Improved Monitoring of Adverse Drug Reactions by Clinical Nurses Asian Nursing Research. 2022;16(1):45-51 Consequences to Patients, Clinicians, and Manufacturers When Very Serious Adverse Drug Reactions Are Identified (1997–2019): A Qualitative Analysis from the Southern Network on Adverse Reactions (SONAR) Cancer Treatment and Research. 2022;141-149 Automated Detection of Adverse Drug Reactions from Social Media Posts with Machine Learning Analysis of Images, Social Networks and Texts. 2017;3-15 Anticoagulant-related hospital admissions: serious adverse reactions identified through hospital databases Pharmacoepidemiology and Drug Safety. 2014;24(2):144-151 Adverse ocular drug reactions recently identified by the National Registry of Drug-Induced Ocular Side Effects Ophthalmology. 2004;111(7):1275-1279 |
