The existence of unlinkable (NIL) entities is a major hurdle affecting the performance of
Named Entity Linking approaches, and, consequently, the performance of downstream …

Objective The study sought to describe patient-entered supplemental information on
symptomatic adverse events (AEs) in cancer clinical research reported via a National …

Background: Pharmacovigilance and safety reporting, which involve processes for
monitoring the use of medicines in clinical trials, play a critical role in the identification of …

Background Detecting Adverse Drug Events (ADEs) is an emerging research area, attracting
great interest in the research community. Better anticipatory management of predisposing …

Electronic health records contain a wealth of valuable information for improving healthcare.
There are, however, challenges associated with clinical text that prevent computers from …

Aim: Drug Ineffective (DI) reports are Adverse Drug Events (ADE) important for post-
marketing surveillance (PMS). Currently drug safety information from the DI reports received …

In this paper we introduce a simplified approach to sentiment analysis: a lexicon-driven
method based upon only adjectives and adverbs. This method is compared in cross …

Text normalisation is an important task in the context of Natural Language Processing. By
normalisation, free text is mapped into dictionaries, ie indexed collections of locutions …

We present a synopsis of publications focused on machine learning (ML) or artificial
intelligence (AI) applications in healthcare for the year 2019. We appreciate the work of …

In this paper, we illustrate a combinatorial approach to the problem of defining an ontology
used for detecting multiple authorship and roles in weblogs and social network literature …