AE Chung, K Shoenbill, SA Mitchell… - Journal of the …, 2019 - academic.oup.com
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 …
HJA Khabbaz, TA Alsoaiby… - Journal of …, 2023 - ebooks.manu2sent.com
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 …
M Cristani, M Cristani, A Pesarin, C Tomazzoli… - Current Trends in Web …, 2018 - Springer
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 …
P Mathur, AK Khanna, JB Cywinski… - Team BrainX, BrainX … - researchgate.net
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 …