Variational Autoencoder for Unsupervised Detection of Adverse Drug Reaction Signals from Electronic Health Record Clinical Notes and Laboratory Abnormalities

cirpublications.com-snhb-1790880676-d016574212 1790880676 Clinical Intelligence Research Press info@cirpublications.com Clinical Intelligence Research Press Journal of Artificial Intelligence for Healthcare Systems J. Artif. Intell. Healthc. Syst. 3149-8981 2024 3 1 Variational Autoencoder for Unsupervised Detection of Adverse Drug Reaction Signals from Electronic Health Record Clinical Notes and Laboratory Abnormalities Ahmed Benali Karim Boudiaf Samir Touati 2024 10.68159/d016574212 https://cirpublications.com/pub/journal/1/article/d016574212 Lee S, Choi J, Kim HS, Kim GJ, Lee KH, Park CH, et al. Standard-based comprehensive detection of adverse drug reaction signals from nursing statements and laboratory results in electronic health records. J Am Med Inform Assoc. 2017;24(4):697-708. Jagannatha A, Liu F, Liu W, Yu H. 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