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New system to automatically extract adverse drug reactions from electronic health records
Researchers from the IXA group at the UPV/EHU are collaborating with Osakidetza (the Basque Regional Health Service) to create a system for automatically extracting adverse drug reactions from electronic health records written in Spanish. The researchers have conducted different tests using both machine learning and deep learning, with the aim of building a robust model for extracting relations between drug-disease pairs based on clinical text mining.
Patients electronic health records convey crucial information. The application of natural language processing techniques to these records may be an effective means of extracting information that may improve clinical decision making, clinical documentation and billing, disease prediction and the detection of adverse drug reactions. Adverse drug reactions are a major health problem, resulting in hospital re-admissions and even the death o ....

Sara Santiso , Emily Henderson , Basurto University Hospital , Osakidetza The Basque Regional Health Service , Basque Regional Health Service , Galdakao Hospital , Deep Learning , Machine Learning , எமிலி ஹென்டர்சன் , பசியூ பிராந்திய ஆரோக்கியம் சேவை , ஆழமான கற்றல் , இயந்திரம் கற்றல் ,