… Finally, it would be advisable to inform the patient about the adverse effects that may occur,
how to avoid … Prevalence of adverse drug events in ambulatory care: a systematic review …

… The focus of our discussion relies on studies dealing with English as … Adverse drug events
and medication relation extraction in electronic health records with ensemble deep learning …

… Existing machine learning models in this study use feature engineering or … by learning to
classify radiography reports via annotations and current rule-based techniques. It first learns to …

… learn distinct clinical events from EHR data that included temporal relationships among the
events… As for publication characteristics, we limit our search to English-language research …

… if the SDoH extraction was performed on non-EHR data (eg, … media data), or if the publication
involved non-English EHR … investigated deep learning algorithms for SDoH extraction. …

… collections of patient healthcare events and observations, … Besides, many public annotated
data in this field are in English… , and then we explore deep learning methods on various tasks: …

… ) or a language other than English or Spanish as their primary … allergic reactions. Some
patients detected discrepancies in … only for EHR accuracy but also for organizational learning. …

… OR data science OR artificial intelligence OR machine learning … 2010 and October 2020 in
English, French, Spanish, Italian, and … events, phenotyping, data augmentation, and EHR data …

… to retrieve research articles published in English between January … AI has also been embedded
in electronic health record (EHR) … all other methods in predicting adverse drug reactions. …

… learning was successfully used where clinical codes integrated with free-text notes into
electronic health records … 9.5 million clinical notes were annotated with adverse drug events [99]. …