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Healthcare Informatics Research10.4258/hir.2020.26.2.1042020262104-111Analysis of Adverse Drug Reactions Identified in Nursing Notes Using Reinforcement LearningEunjoo Jeon, Youngsam Kim, Hojun Park, Rae Woong Park, Hyopil Shin, Hyeoun-Ae Parkhttp://e-hir.org/upload/pdf/hir-26-2-104.pdf, http://e-hir.org/journal/view.php?doi=10.4258/hir.2020.26.2.104, http://e-hir.org/upload/pdf/hir-26-2-104.pdf
European Journal of Oncology Nursing10.1016/j.ejon.2018.03.00420183455-60Analysis of data on capecitabine-related adverse drug reactions from the Korean adverse event reporting system databaseJeong Yun Parkhttps://api.elsevier.com/content/article/PII:S1462388918300486?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1462388918300486?httpAccept=text/plain
Understanding Pharmacology in Nursing Practice10.1007/978-3-030-32004-1_4202089-114Adverse Drug Reactions and Drug InteractionsNicola Husainhttp://link.springer.com/content/pdf/10.1007/978-3-030-32004-1_4
Pharmacoepidemiology and Drug Safety10.1002/pds.36882014242144-151Anticoagulant-related hospital admissions: serious adverse reactions identified through hospital databasesCharles Heng, Marie Christine Rybarczyk-Vigouret, Bruno Michelhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fpds.3688, https://onlinelibrary.wiley.com/doi/full/10.1002/pds.3688
Analysis of Images, Social Networks and Texts10.1007/978-3-319-73013-4_120173-15Automated Detection of Adverse Drug Reactions from Social Media Posts with Machine LearningIlseyar Alimova, Elena Tutubalinahttp://link.springer.com/content/pdf/10.1007/978-3-319-73013-4_1
International Journal of Clinical Practice10.1111/j.1742-1241.2006.01130.x2007611157-161Analysis of adverse drug reactions for preventabilityM. M. Ducharme, L. A. Boothbyhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1742-1241.2006.01130.x, http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1742-1241.2006.01130.x/fullpdf
Reactions10.1007/bf0326483419837019-9Detecting adverse drug effects using vital and morbidity statisticshttp://link.springer.com/content/pdf/10.1007/BF03264834.pdf, http://link.springer.com/article/10.1007/BF03264834/fulltext.html, http://link.springer.com/content/pdf/10.1007/BF03264834
Drug Metabolism and Pharmacokinetics10.1016/j.dmpk.2018.09.1262019341S33-S34Prediction of adverse drug reactions of biased data using bootstrap aggregating and machine learning techniquesDipayan Ghosh, Geervani Koneti, Narayanan Ramamurthihttps://api.elsevier.com/content/article/PII:S1347436718302775?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1347436718302775?httpAccept=text/plain
Geriatric Nursing10.1016/j.gerinurse.2012.08.004201334153-61Antidepressant adverse drug reactions in older adults: Implications for RNs and APNsAmanda L. Mitschhttps://api.elsevier.com/content/article/PII:S0197457212002790?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0197457212002790?httpAccept=text/plain
Applied Nursing Research10.1053/apnr.2001.267882001144220-224The potential for adverse drug reactions in elderly patientsLouise P. Gallagherhttps://api.elsevier.com/content/article/PII:S089718970120901X?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S089718970120901X?httpAccept=text/plain