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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 |
Analysis of Adverse Drug Reactions Identified in Nursing Notes Using Reinforcement Learning Analysis of data on capecitabine-related adverse drug reactions from the Korean adverse event reporting system database Analysis of adverse drug reactions for preventability Adverse Drug Reactions and Drug Interactions Adverse Drug Reactions Prediction Using Multi-label Linear Discriminant Analysis and Multi-label Learning Effect of Website-based Learning on Improved Monitoring of Adverse Drug Reactions by Clinical Nurses 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) Automated Detection of Adverse Drug Reactions from Social Media Posts with Machine Learning Anticoagulant-related hospital admissions: serious adverse reactions identified through hospital databases Adverse ocular drug reactions recently identified by the National Registry of Drug-Induced Ocular Side Effects |