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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  Adverse Drug Reactions and Drug Interactions Understanding Pharmacology in Nursing Practice. 2020;89-114 Analysis of adverse drug reactions for preventability International Journal of Clinical Practice. 2007;61(1):157-161 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 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 Sentence-Level Aspect-Based Sentiment Analysis for Classifying Adverse Drug Reactions (ADRs) Using Hybrid Ontology-XLNet Transfer Learning IEEE Access. 2021;9:90828-90846 Deep Learning Prediction of Adverse Drug Reactions in Drug Discovery Using Open TG–GATEs and FAERS Databases Frontiers in Drug Discovery. 2021;1: Prediction of adverse drug reactions of biased data using bootstrap aggregating and machine learning techniques Drug Metabolism and Pharmacokinetics. 2019;34(1):S33-S34 |
