CrossRef Text and Data Mining
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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
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   Crossref logo
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Adverse Drug Reactions and Drug Interactions
Understanding Pharmacology in Nursing Practice. 2020;89-114   Crossref logo
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Analysis of adverse drug reactions for preventability
International Journal of Clinical Practice. 2007;61(1):157-161   Crossref logo
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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   Crossref logo
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Automated Detection of Adverse Drug Reactions from Social Media Posts with Machine Learning
Analysis of Images, Social Networks and Texts. 2017;3-15   Crossref logo
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Anticoagulant-related hospital admissions: serious adverse reactions identified through hospital databases
Pharmacoepidemiology and Drug Safety. 2014;24(2):144-151   Crossref logo
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Adverse ocular drug reactions recently identified by the National Registry of Drug-Induced Ocular Side Effects
Ophthalmology. 2004;111(7):1275-1279   Crossref logo
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Sentence-Level Aspect-Based Sentiment Analysis for Classifying Adverse Drug Reactions (ADRs) Using Hybrid Ontology-XLNet Transfer Learning
IEEE Access. 2021;9:90828-90846   Crossref logo
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Deep Learning Prediction of Adverse Drug Reactions in Drug Discovery Using Open TG–GATEs and FAERS Databases
Frontiers in Drug Discovery. 2021;1:   Crossref logo
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Prediction of adverse drug reactions of biased data using bootstrap aggregating and machine learning techniques
Drug Metabolism and Pharmacokinetics. 2019;34(1):S33-S34   Crossref logo
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