Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …

This work focuses on the detection of adverse drug reactions (ADRs) in electronic health
records (EHRs) written in Spanish. The World Health Organization underlines the …

A variety of deep learning architectures have been developed for the goal of predictive
modelling and knowledge extraction from medical records. Several models have placed …

Abstract Background: Adverse Drug Events (ADE) are key information present in
unstructured portions of Electronic Health Records. These pose a significant challenge in …

Extracting adverse drug events (ADEs) is one of the most challenging tasks in biomedical
field. However, the existing studies fail to fully utilize the syntactic information and capture …

Medical care is vital and challenging task as the amount of unstructured and unformalized
data has grown dramatically over last decades. The article is dedicated to SMDA project-an …

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Adverse drug reactions (ADR) include adverse reactions which are caused by drug quality
problems or improper medication. In order to solve the issues which are triggered by the lack …

The aim of this work is the automatic extraction of Adverse Drug Reactions (ADRs) in
Electronic Health Records (EHRs) written in Spanish. From Natural Language Processing …

Annotation of clinical datasets is a process of discovery of clinical concepts and their
association with machine readable constructs. The purpose of the process is to expose …