Introducción Como parte esencial de las relaciones humanas, el análisis de las emociones
ha sido un tema cautivador en disciplinas como: la neurociencia, la ciencia cognitiva, la …

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

Objective: To automatically create large labeled training datasets and reduce the efforts of
feature engineering for training accurate machine learning models for clinical information …

Adverse drug events (ADEs) are a serious health problem that can be life-threatening. While
a lot of work on detecting correlation between a drug and an ADE, limited studies have been …

In this paper, we present an approach for detection of adverse drug reactions from drug
reviews to compensate limitations of the spontaneous adverse drug reactions reporting …

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 …

Health care and clinical practice generate large amounts of text detailing symptoms, test
results, diagnoses, treatments, and outcomes for patients. This clinical text, documented in …

The healthcare industry generates significant amount of data on an ongoing basis which
includes historical medical, imaging, lab results, physician assessments, demographics …

Abstract The use of Electronic Health Records (EHRs) in recording the details of patient
interactions with healthcare services has generated large amounts of data with great …