Computerized clinical decision support (CDS) aims to aid decision making of health care
providers and the public by providing easily accessible health-related information at the …

Objectives We examine recent published research on the extraction of information from
textual documents in the Electronic Health Record (EHR). Methods Literature review of the …

Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …

This study examined the use of neural word embeddings for clinical abbreviation
disambiguation, a special case of word sense disambiguation (WSD). We investigated three …

Physicians write clinical notes with abbreviations and shorthand that are difficult to decipher.
Abbreviations can be clinical jargon (writing “HIT” for “heparin induced thrombocytopenia”) …

Objective: The goal of this study was to develop a practical framework for recognizing and
disambiguating clinical abbreviations, thereby improving current clinical natural language …

Objective To create a sense inventory of abbreviations and acronyms from clinical texts.
Methods The most frequently occurring abbreviations and acronyms from 352 267 dictated …

Objective Drugs have tremendous potential to cure and relieve disease, but the risk of
unintended effects is always present. Healthcare providers increasingly record data in …

Given a set of d dimensional objects, a skyline query finds the objects (" skyline") that are not
dominated by others. However, skylines do not always provide useful query results to users …

Abstract Clinical Natural Language Processing (NLP) systems extract clinical information
from narrative clinical texts in many settings. Previous research mentions the challenges of …