MetaMap is a widely available program providing access to the concepts in the unified
medical language system (UMLS) Metathesaurus from biomedical text. This study reports on …

Health care professionals produce abundant textual information in their daily clinical
practice and this information is stored in many diverse sources and, generally, in textual …

Background Systematic reviews address a specific clinical question by unbiasedly
assessing and analyzing the pertinent literature. Citation screening is a time-consuming and …

Background The medical subdomain of a clinical note, such as cardiology or neurology, is
useful content-derived metadata for develo** machine learning downstream applications …

Building high accuracy text classifiers is an important task in biomedicine given the wealth of
information hidden in unstructured narratives such as research articles and clinical …

Background MeSH indexing is the task of assigning relevant MeSH terms based on a
manual reading of scholarly publications by human indexers. The task is highly important for …

The growing numbers of topically relevant biomedical publications readily available due to
advances in document retrieval methods pose a challenge to clinicians practicing evidence …

Automated document classification can be a valuable tool for enhancing the efficiency of
creating and updating systematic reviews (SRs) for evidence-based medicine. One way …

In this paper, we present our system as submitted in the CEGS N-GRID 2016 task 2 RDoC
classification competition. The task was to determine symptom severity (0–3) in a domain for …

Stunting is a condition in which children experience impaired growth and development,
caused by malnutrition, repeated infections, and inadequate psychosocial stimulation. It …