Background Allergic drug reaction epidemiologic data are sparse because it remains difficult
to identify true cases in large data sets using manual chart review. Objective To develop and …

PURPOSE Typically stored as unstructured notes, surgical pathology reports contain data
elements valuable to cancer research that require labor-intensive manual extraction …

Objectives: To select, present, and summarize the best papers published in 2016 in the field
of Knowledge Representation and Management (KRM). Methods: A comprehensive and …

Clinical documentation has dramatically changed since the implementation and use of
electronic health records and electronic provider documentation. The purpose of this report …

While natural language processing (NLP) of unstructured clinical narratives holds the
potential for patient care and clinical research, portability of NLP approaches across multiple …

Abstract Natural Language Processing (NLP) holds potential for patient care and clinical
research, but a gap exists between promise and reality. While some studies have …

ABSTRACT Electronic Health Records are clinical information repositories that have been
proposed primarily to provide access to all clinical data of a patient. They have been formally …

NimbleMiner is a word embedding-based, language-agnostic natural language processing
system for clinical text classification. Previously, NimbleMiner was applied in English and …

Background Anti-VEGF drugs are currently used to treat macular diseases. This has led to a
wealth of additional data, which could help understand and predict treatment courses; …

Zusammenfassung Eine Vielzahl umfangreicher begrifflicher Ordnungssysteme wie
Thesauren, Klassifikationen, Nomenklaturen und Ontologien unterstützt die Informations …